{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\pcavey\Documents\2017 Policymaker Survey\MAD and Taboo\Data\Analysis\Replication for FPA\Log for MAD and Taboo.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}25 Feb 2020, 17:20:04

{com}. do "C:\Users\pcavey\AppData\Local\Temp\STD00000000.tmp"
{txt}
{com}. *NOTE: Table 1 reports hypotheses, there is no data to populate the table *
. 
. ** Table 2 **
. *Policymaker Survey Demographics* 
. * Note: Precise ages withheld for privacy *
. 
. sum age if mad_familiar !=.

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}age {c |}{res}        317     60.5205    11.05297         29         88
{txt}
{com}. tab sex if mad_familiar != . 

{txt}1 = male, 0 {c |}
   = female {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         65       20.38       20.38
{txt}          1 {c |}{res}        254       79.62      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        319      100.00
{txt}
{com}. tab minority if mad_familiar != . 

        {txt}1 = {c |}
Minority, 0 {c |}
    = White {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        287       90.82       90.82
{txt}          1 {c |}{res}         29        9.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        316      100.00
{txt}
{com}. tab military if mad_familiar != . 

    {txt}Highest {c |}
       rank {c |}
   military {c |}
    officer {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        287       90.25       90.25
{txt}          1 {c |}{res}         31        9.75      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        318      100.00
{txt}
{com}. tab rank if mad_familiar != . 

 {txt}Government {c |}
  rank, 4 = {c |}
    highest {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         50       15.72       15.72
{txt}          2 {c |}{res}         85       26.73       42.45
{txt}          3 {c |}{res}         68       21.38       63.84
{txt}          4 {c |}{res}        115       36.16      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        318      100.00
{txt}
{com}. sum experience if mad_familiar != . 

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}experience {c |}{res}        318    24.03962    12.35332          0         51
{txt}
{com}. tab education if mad_familiar != . 

  {txt}Education {c |}
 level, 5 = {c |}
 Ph.D., 1 = {c |}
       some {c |}
 college or {c |}
    college {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         35       10.94       10.94
{txt}          2 {c |}{res}        144       45.00       55.94
{txt}          3 {c |}{res}         17        5.31       61.25
{txt}          4 {c |}{res}         47       14.69       75.94
{txt}          5 {c |}{res}         77       24.06      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        320      100.00
{txt}
{com}. tab university if mad_familiar !=.

       {txt}Held {c |}
 university {c |}
   position {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        159       49.84       49.84
{txt}          1 {c |}{res}        160       50.16      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        319      100.00
{txt}
{com}. tab thinktank if mad_familiar !=.

 {txt}Held think {c |}
       tank {c |}
   position {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        193       60.50       60.50
{txt}          1 {c |}{res}        126       39.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        319      100.00
{txt}
{com}. tab privateindustry if mad_familiar !=.

       {txt}Held {c |}
    private {c |}
   industry {c |}
   position {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        182       57.05       57.05
{txt}          1 {c |}{res}        137       42.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        319      100.00
{txt}
{com}. tab advocacy if mad_familiar !=.

       {txt}Held {c |}
   advocacy {c |}
   position {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        275       86.21       86.21
{txt}          1 {c |}{res}         44       13.79      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        319      100.00
{txt}
{com}. tab international if mad_familiar !=.

{txt}Internation {c |}
 al Affairs {c |}
 Background {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        215       67.19       67.19
{txt}          1 {c |}{res}        105       32.81      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        320      100.00
{txt}
{com}. tab political if mad_familiar !=. 

  {txt}political {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        275       85.94       85.94
{txt}          1 {c |}{res}         45       14.06      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        320      100.00
{txt}
{com}. tab ideology if mad_familiar != .

{txt}Ideology on {c |}
   economic {c |}
     issues {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         13        4.19        4.19
{txt}          2 {c |}{res}         84       27.10       31.29
{txt}          3 {c |}{res}        101       32.58       63.87
{txt}          4 {c |}{res}        104       33.55       97.42
{txt}          5 {c |}{res}          8        2.58      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        310      100.00
{txt}
{com}. 
. ** Table 2 Note B**
. * Respondents that held a university position by education *
. * Note: Denominator used for Note B is the total number answering nuclear familiarity questions (320) *  
. 
. tab education if university == 1 & mad_familiar !=.

  {txt}Education {c |}
 level, 5 = {c |}
 Ph.D., 1 = {c |}
       some {c |}
 college or {c |}
    college {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         10        6.25        6.25
{txt}          2 {c |}{res}         45       28.13       34.38
{txt}          3 {c |}{res}         10        6.25       40.63
{txt}          4 {c |}{res}         28       17.50       58.13
{txt}          5 {c |}{res}         67       41.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        160      100.00
{txt}
{com}. 
. ** Replication Command for Footnote 6 **
. 
. ttest taboo_uk_france, by(taboo_uk_france_early) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     51{col 22} 3.647059{col 34} .0731559{col 46} .5224377{col 58} 3.500121{col 70} 3.793997
       {txt}1 {c |}{res}{col 12}     32{col 22}   3.3125{col 34} .1645957{col 46} .9310937{col 58} 2.976805{col 70} 3.648195
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     83{col 22} 3.518072{col 34}  .079229{col 46} .7218108{col 58} 3.360461{col 70} 3.675684
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .3345588{col 34} .1801209{col 58}-.0284087{col 70} .6975263
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.8574
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 44.1819

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9650         {txt}Pr(|T| > |t|) = {res}0.0699          {txt}Pr(T > t) = {res}0.0350
{txt}
{com}. ci means taboo_uk_france_1

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
taboo_uk_f~1 {c |}{col 16}{res}        32{col 29}   3.3125{col 41} .1645957{col 57} 2.976805{col 69} 3.648195{txt}

{com}. ci means taboo_uk_france_2

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
taboo_uk_f~2 {c |}{col 16}{res}        51{col 29} 3.647059{col 41} .0731559{col 57} 3.500121{col 69} 3.793997{txt}

{com}. 
. ttest taboo_russia_china, by(taboo_russia_china_early) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     43{col 22} 2.604651{col 34} .1294829{col 46} .8490761{col 58} 2.343344{col 70} 2.865958
       {txt}1 {c |}{res}{col 12}     51{col 22} 2.627451{col 34} .1083234{col 46} .7735835{col 58} 2.409877{col 70} 2.845025
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     94{col 22} 2.617021{col 34} .0829925{col 46} .8046422{col 58} 2.452215{col 70} 2.781828
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0227998{col 34} .1688187{col 58}-.3582976{col 70}  .312698
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.1351
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 87.8863

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4464         {txt}Pr(|T| > |t|) = {res}0.8929          {txt}Pr(T > t) = {res}0.5536
{txt}
{com}. ci means taboo_russia_china_1

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
taboo_russ~1 {c |}{col 16}{res}        51{col 29} 2.627451{col 41} .1083234{col 57} 2.409877{col 69} 2.845025{txt}

{com}. ci means taboo_russia_china_2

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
taboo_russ~2 {c |}{col 16}{res}        43{col 29} 2.604651{col 41} .1294829{col 57} 2.343344{col 69} 2.865958{txt}

{com}. 
. ttest mad_confidence, by(mad_confidence_early) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    159{col 22} 3.245283{col 34} .0540656{col 46} .6817418{col 58} 3.138498{col 70} 3.352068
       {txt}1 {c |}{res}{col 12}    152{col 22} 3.197368{col 34} .0612404{col 46} .7550227{col 58}  3.07637{col 70} 3.318367
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    311{col 22} 3.221865{col 34} .0406986{col 46} .7177279{col 58} 3.141784{col 70} 3.301945
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0479146{col 34} .0816914{col 58}-.1128367{col 70} .2086659
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.5865
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 304.435

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7210         {txt}Pr(|T| > |t|) = {res}0.5580          {txt}Pr(T > t) = {res}0.2790
{txt}
{com}. ci means mad_confidence_1 if mad_confidence_1 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
mad_confid~1 {c |}{col 16}{res}       152{col 29} 3.197368{col 41} .0612404{col 57}  3.07637{col 69} 3.318367{txt}

{com}. ci means mad_confidence_2 if mad_confidence_2 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
mad_confid~2 {c |}{col 16}{res}       159{col 29} 3.245283{col 41} .0540656{col 57} 3.138498{col 69} 3.352068{txt}

{com}. 
. ttest deter_nuclear_strikes, by(deter_nuclear_strikes_early) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    160{col 22}  3.41875{col 34}  .046473{col 46}  .587842{col 58} 3.326966{col 70} 3.510534
       {txt}1 {c |}{res}{col 12}    153{col 22} 3.385621{col 34} .0500466{col 46} .6190419{col 58} 3.286744{col 70} 3.484498
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    313{col 22} 3.402556{col 34} .0340583{col 46} .6025532{col 58} 3.335543{col 70} 3.469569
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0331291{col 34} .0682964{col 58}-.1012539{col 70}  .167512
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.4851
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 310.112

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6860         {txt}Pr(|T| > |t|) = {res}0.6280          {txt}Pr(T > t) = {res}0.3140
{txt}
{com}. ci means deter_nuclear_strikes_1 if deter_nuclear_strikes_1 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
deter_nucl~1 {c |}{col 16}{res}       153{col 29} 3.385621{col 41} .0500466{col 57} 3.286744{col 69} 3.484498{txt}

{com}. ci means deter_nuclear_strikes_2 if deter_nuclear_strikes_2 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
deter_nucl~2 {c |}{col 16}{res}       160{col 29}  3.41875{col 41}  .046473{col 57} 3.326966{col 69} 3.510534{txt}

{com}. 
. ttest coerce_nuclear_opp, by(coerce_nuclear_opp_early) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} 2.236025{col 34}  .062626{col 46} .7946346{col 58} 2.112345{col 70} 2.359705
       {txt}1 {c |}{res}{col 12}    151{col 22} 2.211921{col 34} .0634611{col 46} .7798228{col 58} 2.086527{col 70} 2.337314
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    312{col 22} 2.224359{col 34}  .044517{col 46} .7863278{col 58} 2.136766{col 70} 2.311952
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0241043{col 34}  .089159{col 58} -.151326{col 70} .1995346
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2704
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 311.362

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6065         {txt}Pr(|T| > |t|) = {res}0.7871          {txt}Pr(T > t) = {res}0.3935
{txt}
{com}. ci means coerce_nuclear_opp_1 if coerce_nuclear_opp_1 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
coerce_nuc~1 {c |}{col 16}{res}       151{col 29} 2.211921{col 41} .0634611{col 57} 2.086527{col 69} 2.337314{txt}

{com}. ci means coerce_nuclear_opp_2 if coerce_nuclear_opp_2 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
coerce_nuc~2 {c |}{col 16}{res}       161{col 29} 2.236025{col 41}  .062626{col 57} 2.112345{col 69} 2.359705{txt}

{com}. 
. ttest deter_conv_nuclear_opp, by(deter_conv_nuclear_opp_early) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} 2.639752{col 34} .0626491{col 46} .7949276{col 58} 2.516026{col 70} 2.763477
       {txt}1 {c |}{res}{col 12}    151{col 22} 2.807947{col 34} .0635348{col 46} .7807281{col 58} 2.682408{col 70} 2.933486
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    312{col 22} 2.721154{col 34} .0447992{col 46} .7913121{col 58} 2.633006{col 70} 2.809302
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1681955{col 34} .0892276{col 58}-.3437609{col 70}   .00737
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.8850
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res}  311.34

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0302         {txt}Pr(|T| > |t|) = {res}0.0604          {txt}Pr(T > t) = {res}0.9698
{txt}
{com}. ci means deter_conv_nuclear_opp_1 if deter_conv_nuclear_opp_1 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
deter_conv.. {c |}{col 16}{res}       151{col 29} 2.807947{col 41} .0635348{col 57} 2.682408{col 69} 2.933486{txt}

{com}. ci means deter_conv_nuclear_opp_2 if deter_conv_nuclear_opp_2 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
deter_conv.. {c |}{col 16}{res}       161{col 29} 2.639752{col 41} .0626491{col 57} 2.516026{col 69} 2.763477{txt}

{com}. 
. ttest coerce_nonnuclear_opp, by(coerce_nonnuclear_opp_early) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    156{col 22} 2.230769{col 34}   .06421{col 46} .8019827{col 58}  2.10393{col 70} 2.357609
       {txt}1 {c |}{res}{col 12}    151{col 22} 2.125828{col 34} .0646298{col 46} .7941842{col 58} 1.998125{col 70}  2.25353
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    307{col 22} 2.179153{col 34} .0455775{col 46} .7985824{col 58} 2.089468{col 70} 2.268838
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1049414{col 34}  .091104{col 58}-.0743262{col 70}  .284209
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.1519
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 306.841

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8749         {txt}Pr(|T| > |t|) = {res}0.2503          {txt}Pr(T > t) = {res}0.1251
{txt}
{com}. ci means coerce_nonnuclear_opp_1 if coerce_nonnuclear_opp_1 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
coerce_non~1 {c |}{col 16}{res}       151{col 29} 2.125828{col 41} .0646298{col 57} 1.998125{col 69}  2.25353{txt}

{com}. ci means coerce_nonnuclear_opp_2 if coerce_nonnuclear_opp_2 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
coerce_non~2 {c |}{col 16}{res}       156{col 29} 2.230769{col 41}   .06421{col 57}  2.10393{col 69} 2.357609{txt}

{com}. 
. ttest deter_conv_nonnuclear_opp, by(deter_conv_nonnuclear_opp_early) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    160{col 22}  2.58125{col 34} .0666304{col 46} .8428155{col 58} 2.449655{col 70} 2.712845
       {txt}1 {c |}{res}{col 12}    151{col 22} 2.417219{col 34} .0723968{col 46} .8896263{col 58} 2.274169{col 70} 2.560268
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    311{col 22} 2.501608{col 34} .0492395{col 46} .8683488{col 58} 2.404722{col 70} 2.598494
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1640315{col 34} .0983916{col 58}-.0295754{col 70} .3576383
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.6671
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 307.149

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9517         {txt}Pr(|T| > |t|) = {res}0.0965          {txt}Pr(T > t) = {res}0.0483
{txt}
{com}. ci means deter_conv_nonnuclear_opp_1 if deter_conv_nonnuclear_opp_1 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
deter_conv.. {c |}{col 16}{res}       151{col 29} 2.417219{col 41} .0723968{col 57} 2.274169{col 69} 2.560268{txt}

{com}. ci means deter_conv_nonnuclear_opp_2 if deter_conv_nonnuclear_opp_2 != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
deter_conv.. {c |}{col 16}{res}       160{col 29}  2.58125{col 41} .0666304{col 57} 2.449655{col 69} 2.712845{txt}

{com}. 
. ** Table 3 Demographics **
. * Faculty Survey Demographics *
. 
. tab sex_ir if deter_nuclear_strikes_ir != . 

{txt}Faculty Sex {c |}
1 = Male, 0 {c |}
   = Female {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        365       28.49       28.49
{txt}          1 {c |}{res}        916       71.51      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,281      100.00
{txt}
{com}. tab minority_ir if deter_nuclear_strikes_ir != . 

{txt}IR Faculty: {c |}
        1 = {c |}
Minority, 0 {c |}
    = White {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,049       81.89       81.89
{txt}          1 {c |}{res}        232       18.11      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,281      100.00
{txt}
{com}. tab rank_ir if deter_nuclear_strikes_ir != . 

    {txt}Faculty {c |}
   Rank 1 = {c |}
Assistant/o {c |}
  ther, 2 = {c |}
 Associate, {c |}
   3 = Full {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        496       38.72       38.72
{txt}          2 {c |}{res}        330       25.76       64.48
{txt}          3 {c |}{res}        455       35.52      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,281      100.00
{txt}
{com}. tab ideology_ir if deter_nuclear_strikes_ir != . 

    {txt}Faculty {c |}
   Ideology {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        275       21.83       21.83
{txt}          2 {c |}{res}        532       42.22       64.05
{txt}          3 {c |}{res}        314       24.92       88.97
{txt}          4 {c |}{res}        115        9.13       98.10
{txt}          5 {c |}{res}         24        1.90      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,260      100.00
{txt}
{com}. 
. ** Figure 1 **
. * Confidence in MAD *
. * NOTE: Data for 2011 Policymaker survey available at: https://carnrank.nd.edu/files-that-pertain-to-the-above-project/data/" 
. 
. tab mad_confidence

  {txt}Confident {c |}
     in MAD {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          5        1.60        1.60
{txt}          2 {c |}{res}         38       12.14       13.74
{txt}          3 {c |}{res}        151       48.24       61.98
{txt}          4 {c |}{res}        117       37.38       99.36
{txt}          9 {c |}{res}          2        0.64      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        313      100.00
{txt}
{com}. 
. ** Figure 2 **
. * Nuclear Deterrence **
. 
. * Policy *
. 
. tab deter_nuclear_strikes

      {txt}Deter {c |}
    nuclear {c |}
    strikes {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          1        0.32        0.32
{txt}          2 {c |}{res}         16        5.10        5.41
{txt}          3 {c |}{res}        152       48.41       53.82
{txt}          4 {c |}{res}        144       45.86       99.68
{txt}          9 {c |}{res}          1        0.32      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        314      100.00
{txt}
{com}. tab deter_conv_nuclear_opp

      {txt}Deter {c |}
conventiona {c |}
  l attacks {c |}
 by nuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         22        7.03        7.03
{txt}          2 {c |}{res}         87       27.80       34.82
{txt}          3 {c |}{res}        159       50.80       85.62
{txt}          4 {c |}{res}         44       14.06       99.68
{txt}          9 {c |}{res}          1        0.32      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        313      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp

      {txt}Deter {c |}
conventiona {c |}
l attack by {c |}
 nonnuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         43       13.74       13.74
{txt}          2 {c |}{res}        104       33.23       46.96
{txt}          3 {c |}{res}        129       41.21       88.18
{txt}          4 {c |}{res}         35       11.18       99.36
{txt}          9 {c |}{res}          2        0.64      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        313      100.00
{txt}
{com}. 
. * Faculty *
. 
. tab deter_nuclear_strikes_ir

      {txt}Deter {c |}
    Nuclear {c |}
Strikes 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         32        2.50        2.50
{txt}          2 {c |}{res}         94        7.34        9.84
{txt}          3 {c |}{res}        514       40.12       49.96
{txt}          4 {c |}{res}        592       46.21       96.17
{txt}          9 {c |}{res}         49        3.83      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,281      100.00
{txt}
{com}. tab deter_conv_nuclear_opp_ir

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
Nuclear Opp {c |}
   4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        138       10.84       10.84
{txt}          2 {c |}{res}        265       20.82       31.66
{txt}          3 {c |}{res}        605       47.53       79.18
{txt}          4 {c |}{res}        216       16.97       96.15
{txt}          9 {c |}{res}         49        3.85      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,273      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp_ir

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
 Nonnuclear {c |}
    Opp 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        150       11.84       11.84
{txt}          2 {c |}{res}        270       21.31       33.15
{txt}          3 {c |}{res}        510       40.25       73.40
{txt}          4 {c |}{res}        287       22.65       96.05
{txt}          9 {c |}{res}         50        3.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,267      100.00
{txt}
{com}. 
. ** Figure 3 ** 
. * Nuclear Coercion *
. 
. * Policy *
. 
. tab coerce_nuclear_opp

     {txt}Coerce {c |}
    nuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         57       18.15       18.15
{txt}          2 {c |}{res}        140       44.59       62.74
{txt}          3 {c |}{res}        103       32.80       95.54
{txt}          4 {c |}{res}         12        3.82       99.36
{txt}          9 {c |}{res}          2        0.64      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        314      100.00
{txt}
{com}. tab coerce_nonnuclear_opp

     {txt}Coerce {c |}
 nonnuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         65       21.10       21.10
{txt}          2 {c |}{res}        132       42.86       63.96
{txt}          3 {c |}{res}        100       32.47       96.43
{txt}          4 {c |}{res}         10        3.25       99.68
{txt}          9 {c |}{res}          1        0.32      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        308      100.00
{txt}
{com}. 
. * Faculty *
. 
. tab coerce_nuclear_opp_ir

     {txt}Coerce {c |}
    Nuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        420       32.89       32.89
{txt}          2 {c |}{res}        508       39.78       72.67
{txt}          3 {c |}{res}        255       19.97       92.64
{txt}          4 {c |}{res}         47        3.68       96.32
{txt}          9 {c |}{res}         47        3.68      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,277      100.00
{txt}
{com}. tab coerce_nonnuclear_opp_ir

     {txt}Coerce {c |}
 Nonnuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        283       22.27       22.27
{txt}          2 {c |}{res}        483       38.00       60.27
{txt}          3 {c |}{res}        362       28.48       88.75
{txt}          4 {c |}{res}         95        7.47       96.22
{txt}          9 {c |}{res}         48        3.78      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,271      100.00
{txt}
{com}. 
. * Supporting t-test for Figure 3: Policy v. Faculty views on Coercion of Nuclear Opponents *
. * NOTE: Joint Coerce Nuclear Opponent drops all 'Don't Knows' *
. 
. ttest j_coerce_nuclear_opp, by(policy_survey) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  1,230{col 22} 1.942276{col 34} .0238365{col 46} .8359798{col 58} 1.895512{col 70} 1.989041
       {txt}1 {c |}{res}{col 12}    312{col 22} 2.224359{col 34}  .044517{col 46} .7863278{col 58} 2.136766{col 70} 2.311952
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  1,542{col 22} 1.999351{col 34} .0212301{col 46} .8336683{col 58} 1.957709{col 70} 2.040994
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2820826{col 34}  .050497{col 58}-.3812924{col 70}-.1828727
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -5.5861
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 505.596

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ci means coerce_nuclear_opp if coerce_nuclear_opp !=9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
coerce_nuc~p {c |}{col 16}{res}       312{col 29} 2.224359{col 41}  .044517{col 57} 2.136766{col 69} 2.311952{txt}

{com}. ci means coerce_nuclear_opp_ir if coerce_nuclear_opp_ir !=9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
coerce_nuc~r {c |}{col 16}{res}     1,230{col 29} 1.942276{col 41} .0238365{col 57} 1.895512{col 69} 1.989041{txt}

{com}. 
. ** Table 4: Policymaker Ordered Logit Estimates **
. 
. eststo M1: ologit deter_nuclear_strikes age sex minority military rank experience education university international political ideology if deter_nuclear_strikes !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-255.49527}  
Iteration 1:{space 3}log pseudolikelihood = {res:-245.14693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-245.07746}  
Iteration 3:{space 3}log pseudolikelihood = {res:-245.07737}  
Iteration 4:{space 3}log pseudolikelihood = {res:-245.07737}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       293
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     17.46
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0950
{txt}Log pseudolikelihood = {res}-245.07737{txt}{col 49}Pseudo R2{col 67}= {res}    0.0408

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}deter_nuclear_strikes{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}age {c |}{col 23}{res}{space 2}-.0110494{col 35}{space 2} .0142813{col 46}{space 1}   -0.77{col 55}{space 3}0.439{col 63}{space 4}-.0390403{col 76}{space 3} .0169415
{txt}{space 18}sex {c |}{col 23}{res}{space 2} 1.187435{col 35}{space 2} .3527579{col 46}{space 1}    3.37{col 55}{space 3}0.001{col 63}{space 4}  .496042{col 76}{space 3} 1.878827
{txt}{space 13}minority {c |}{col 23}{res}{space 2}-.5638619{col 35}{space 2} .4402632{col 46}{space 1}   -1.28{col 55}{space 3}0.200{col 63}{space 4}-1.426762{col 76}{space 3} .2990382
{txt}{space 13}military {c |}{col 23}{res}{space 2}-.4676703{col 35}{space 2} .4128807{col 46}{space 1}   -1.13{col 55}{space 3}0.257{col 63}{space 4}-1.276902{col 76}{space 3} .3415611
{txt}{space 17}rank {c |}{col 23}{res}{space 2}-.0001948{col 35}{space 2} .1208091{col 46}{space 1}   -0.00{col 55}{space 3}0.999{col 63}{space 4}-.2369763{col 76}{space 3} .2365867
{txt}{space 11}experience {c |}{col 23}{res}{space 2}-.0021572{col 35}{space 2} .0119498{col 46}{space 1}   -0.18{col 55}{space 3}0.857{col 63}{space 4}-.0255784{col 76}{space 3} .0212641
{txt}{space 12}education {c |}{col 23}{res}{space 2} -.118743{col 35}{space 2} .0980953{col 46}{space 1}   -1.21{col 55}{space 3}0.226{col 63}{space 4}-.3110062{col 76}{space 3} .0735202
{txt}{space 11}university {c |}{col 23}{res}{space 2} .0642105{col 35}{space 2}   .27563{col 46}{space 1}    0.23{col 55}{space 3}0.816{col 63}{space 4}-.4760145{col 76}{space 3} .6044354
{txt}{space 8}international {c |}{col 23}{res}{space 2}-.0436922{col 35}{space 2} .2573212{col 46}{space 1}   -0.17{col 55}{space 3}0.865{col 63}{space 4}-.5480325{col 76}{space 3} .4606481
{txt}{space 12}political {c |}{col 23}{res}{space 2} .4471635{col 35}{space 2}  .352223{col 46}{space 1}    1.27{col 55}{space 3}0.204{col 63}{space 4}-.2431809{col 76}{space 3} 1.137508
{txt}{space 13}ideology {c |}{col 23}{res}{space 2}  .144437{col 35}{space 2} .1280522{col 46}{space 1}    1.13{col 55}{space 3}0.259{col 63}{space 4}-.1065407{col 76}{space 3} .3954146
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                /cut1 {c |}{col 23}{res}{space 2} -5.53637{col 35}{space 2} 1.354715{col 63}{space 4}-8.191564{col 76}{space 3}-2.881177
{txt}                /cut2 {c |}{col 23}{res}{space 2}-2.755973{col 35}{space 2} .9616295{col 63}{space 4}-4.640732{col 76}{space 3} -.871214
{txt}                /cut3 {c |}{col 23}{res}{space 2} .4693857{col 35}{space 2} .9046392{col 63}{space 4}-1.303675{col 76}{space 3} 2.242446
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M2: ologit deter_conv_nuclear_opp age sex minority military rank experience education university international political ideology if deter_conv_nuclear_opp !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-339.01234}  
Iteration 1:{space 3}log pseudolikelihood = {res:-333.54652}  
Iteration 2:{space 3}log pseudolikelihood = {res: -333.5199}  
Iteration 3:{space 3}log pseudolikelihood = {res: -333.5199}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       293
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     11.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.3814
{txt}Log pseudolikelihood = {res} -333.5199{txt}{col 49}Pseudo R2{col 67}= {res}    0.0162

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}deter_conv_nuclear_opp{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}age {c |}{col 24}{res}{space 2}-.0225656{col 36}{space 2} .0132984{col 47}{space 1}   -1.70{col 56}{space 3}0.090{col 64}{space 4}  -.04863{col 77}{space 3} .0034988
{txt}{space 19}sex {c |}{col 24}{res}{space 2} .1111375{col 36}{space 2} .2793421{col 47}{space 1}    0.40{col 56}{space 3}0.691{col 64}{space 4} -.436363{col 77}{space 3} .6586381
{txt}{space 14}minority {c |}{col 24}{res}{space 2} .0570143{col 36}{space 2} .4280074{col 47}{space 1}    0.13{col 56}{space 3}0.894{col 64}{space 4}-.7818648{col 77}{space 3} .8958934
{txt}{space 14}military {c |}{col 24}{res}{space 2} .3098103{col 36}{space 2} .4499665{col 47}{space 1}    0.69{col 56}{space 3}0.491{col 64}{space 4}-.5721079{col 77}{space 3} 1.191728
{txt}{space 18}rank {c |}{col 24}{res}{space 2} .1125307{col 36}{space 2} .1094629{col 47}{space 1}    1.03{col 56}{space 3}0.304{col 64}{space 4}-.1020127{col 77}{space 3} .3270741
{txt}{space 12}experience {c |}{col 24}{res}{space 2} .0000974{col 36}{space 2} .0117209{col 47}{space 1}    0.01{col 56}{space 3}0.993{col 64}{space 4}-.0228751{col 77}{space 3} .0230699
{txt}{space 13}education {c |}{col 24}{res}{space 2} .1779508{col 36}{space 2} .0892388{col 47}{space 1}    1.99{col 56}{space 3}0.046{col 64}{space 4}  .003046{col 77}{space 3} .3528556
{txt}{space 12}university {c |}{col 24}{res}{space 2}-.3320642{col 36}{space 2} .2737006{col 47}{space 1}   -1.21{col 56}{space 3}0.225{col 64}{space 4}-.8685075{col 77}{space 3} .2043791
{txt}{space 9}international {c |}{col 24}{res}{space 2}-.1901995{col 36}{space 2} .2634245{col 47}{space 1}   -0.72{col 56}{space 3}0.470{col 64}{space 4}-.7065021{col 77}{space 3}  .326103
{txt}{space 13}political {c |}{col 24}{res}{space 2} .1534141{col 36}{space 2}  .287393{col 47}{space 1}    0.53{col 56}{space 3}0.593{col 64}{space 4}-.4098658{col 77}{space 3} .7166939
{txt}{space 14}ideology {c |}{col 24}{res}{space 2}-.0351019{col 36}{space 2}  .121014{col 47}{space 1}   -0.29{col 56}{space 3}0.772{col 64}{space 4} -.272285{col 77}{space 3} .2020811
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 /cut1 {c |}{col 24}{res}{space 2}-3.436886{col 36}{space 2}  .838422{col 64}{space 4}-5.080163{col 77}{space 3}-1.793609
{txt}                 /cut2 {c |}{col 24}{res}{space 2}-1.350714{col 36}{space 2}  .790387{col 64}{space 4}-2.899844{col 77}{space 3} .1984156
{txt}                 /cut3 {c |}{col 24}{res}{space 2} 1.132389{col 36}{space 2} .7936429{col 64}{space 4}-.4231229{col 77}{space 3}   2.6879
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M3: ologit deter_conv_nonnuclear_opp age sex minority military rank experience education university international political ideology if deter_conv_nonnuclear_opp !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-363.63582}  
Iteration 1:{space 3}log pseudolikelihood = {res: -358.0249}  
Iteration 2:{space 3}log pseudolikelihood = {res:-358.00595}  
Iteration 3:{space 3}log pseudolikelihood = {res:-358.00594}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       293
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     11.28
{txt}{col 49}Prob > chi2{col 67}= {res}    0.4199
{txt}Log pseudolikelihood = {res}-358.00594{txt}{col 49}Pseudo R2{col 67}= {res}    0.0155

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}deter_conv_nonnuclear_opp{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}age {c |}{col 27}{res}{space 2}-.0187311{col 39}{space 2}  .013786{col 50}{space 1}   -1.36{col 59}{space 3}0.174{col 67}{space 4}-.0457511{col 80}{space 3} .0082889
{txt}{space 22}sex {c |}{col 27}{res}{space 2} .0274543{col 39}{space 2} .2916095{col 50}{space 1}    0.09{col 59}{space 3}0.925{col 67}{space 4}-.5440899{col 80}{space 3} .5989985
{txt}{space 17}minority {c |}{col 27}{res}{space 2}-.3321477{col 39}{space 2} .3942779{col 50}{space 1}   -0.84{col 59}{space 3}0.400{col 67}{space 4}-1.104918{col 80}{space 3} .4406228
{txt}{space 17}military {c |}{col 27}{res}{space 2}-.2040012{col 39}{space 2} .3841608{col 50}{space 1}   -0.53{col 59}{space 3}0.595{col 67}{space 4}-.9569424{col 80}{space 3} .5489401
{txt}{space 21}rank {c |}{col 27}{res}{space 2}-.0518845{col 39}{space 2} .1154029{col 50}{space 1}   -0.45{col 59}{space 3}0.653{col 67}{space 4}-.2780699{col 80}{space 3}  .174301
{txt}{space 15}experience {c |}{col 27}{res}{space 2}-.0117391{col 39}{space 2} .0111608{col 50}{space 1}   -1.05{col 59}{space 3}0.293{col 67}{space 4}-.0336138{col 80}{space 3} .0101356
{txt}{space 16}education {c |}{col 27}{res}{space 2} .0334233{col 39}{space 2} .0906184{col 50}{space 1}    0.37{col 59}{space 3}0.712{col 67}{space 4}-.1441855{col 80}{space 3} .2110322
{txt}{space 15}university {c |}{col 27}{res}{space 2}-.1484723{col 39}{space 2} .2835585{col 50}{space 1}   -0.52{col 59}{space 3}0.601{col 67}{space 4}-.7042367{col 80}{space 3} .4072922
{txt}{space 12}international {c |}{col 27}{res}{space 2}-.0654396{col 39}{space 2} .2452606{col 50}{space 1}   -0.27{col 59}{space 3}0.790{col 67}{space 4}-.5461415{col 80}{space 3} .4152624
{txt}{space 16}political {c |}{col 27}{res}{space 2}-.2650434{col 39}{space 2} .3175408{col 50}{space 1}   -0.83{col 59}{space 3}0.404{col 67}{space 4}-.8874119{col 80}{space 3}  .357325
{txt}{space 17}ideology {c |}{col 27}{res}{space 2}-.0670999{col 39}{space 2} .1287344{col 50}{space 1}   -0.52{col 59}{space 3}0.602{col 67}{space 4}-.3194147{col 80}{space 3} .1852148
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    /cut1 {c |}{col 27}{res}{space 2} -3.78033{col 39}{space 2} .8310331{col 67}{space 4}-5.409125{col 80}{space 3}-2.151535
{txt}                    /cut2 {c |}{col 27}{res}{space 2}-1.977923{col 39}{space 2} .8069365{col 67}{space 4}-3.559489{col 80}{space 3}-.3963563
{txt}                    /cut3 {c |}{col 27}{res}{space 2} .2850029{col 39}{space 2} .7972661{col 67}{space 4} -1.27761{col 80}{space 3} 1.847616
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M4: ologit coerce_nuclear_opp age sex minority military rank experience education university international political ideology if coerce_nuclear_opp !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-336.46444}  
Iteration 1:{space 3}log pseudolikelihood = {res:-330.08793}  
Iteration 2:{space 3}log pseudolikelihood = {res:-330.06416}  
Iteration 3:{space 3}log pseudolikelihood = {res:-330.06416}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       292
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     13.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.2447
{txt}Log pseudolikelihood = {res}-330.06416{txt}{col 49}Pseudo R2{col 67}= {res}    0.0190

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}coerce_nuclear_opp{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}age {c |}{col 20}{res}{space 2}-.0005259{col 32}{space 2} .0117287{col 43}{space 1}   -0.04{col 52}{space 3}0.964{col 60}{space 4}-.0235137{col 73}{space 3} .0224619
{txt}{space 15}sex {c |}{col 20}{res}{space 2}-.4628933{col 32}{space 2} .3204073{col 43}{space 1}   -1.44{col 52}{space 3}0.149{col 60}{space 4} -1.09088{col 73}{space 3} .1650935
{txt}{space 10}minority {c |}{col 20}{res}{space 2}-.3257241{col 32}{space 2} .3480699{col 43}{space 1}   -0.94{col 52}{space 3}0.349{col 60}{space 4}-1.007929{col 73}{space 3} .3564802
{txt}{space 10}military {c |}{col 20}{res}{space 2} .9475107{col 32}{space 2} .3989585{col 43}{space 1}    2.37{col 52}{space 3}0.018{col 60}{space 4} .1655664{col 73}{space 3} 1.729455
{txt}{space 14}rank {c |}{col 20}{res}{space 2}-.0512397{col 32}{space 2} .1075522{col 43}{space 1}   -0.48{col 52}{space 3}0.634{col 60}{space 4}-.2620381{col 73}{space 3} .1595587
{txt}{space 8}experience {c |}{col 20}{res}{space 2}-.0074499{col 32}{space 2} .0102218{col 43}{space 1}   -0.73{col 52}{space 3}0.466{col 60}{space 4}-.0274843{col 73}{space 3} .0125844
{txt}{space 9}education {c |}{col 20}{res}{space 2}-.0287936{col 32}{space 2} .1002767{col 43}{space 1}   -0.29{col 52}{space 3}0.774{col 60}{space 4}-.2253323{col 73}{space 3} .1677451
{txt}{space 8}university {c |}{col 20}{res}{space 2}-.0325141{col 32}{space 2} .2735964{col 43}{space 1}   -0.12{col 52}{space 3}0.905{col 60}{space 4}-.5687533{col 73}{space 3}  .503725
{txt}{space 5}international {c |}{col 20}{res}{space 2}-.3516805{col 32}{space 2} .2559086{col 43}{space 1}   -1.37{col 52}{space 3}0.169{col 60}{space 4}-.8532522{col 73}{space 3} .1498912
{txt}{space 9}political {c |}{col 20}{res}{space 2}-.2819016{col 32}{space 2} .3011573{col 43}{space 1}   -0.94{col 52}{space 3}0.349{col 60}{space 4}-.8721592{col 73}{space 3} .3083559
{txt}{space 10}ideology {c |}{col 20}{res}{space 2}-.0581658{col 32}{space 2} .1304972{col 43}{space 1}   -0.45{col 52}{space 3}0.656{col 60}{space 4}-.3139357{col 73}{space 3} .1976041
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /cut1 {c |}{col 20}{res}{space 2}-2.654912{col 32}{space 2} .8364046{col 60}{space 4}-4.294235{col 73}{space 3}-1.015589
{txt}             /cut2 {c |}{col 20}{res}{space 2}-.5694515{col 32}{space 2} .8227781{col 60}{space 4}-2.182067{col 73}{space 3} 1.043164
{txt}             /cut3 {c |}{col 20}{res}{space 2} 2.309815{col 32}{space 2} .9170524{col 60}{space 4} .5124258{col 73}{space 3} 4.107205
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M5: ologit coerce_nonnuclear_opp age sex minority military rank experience education university international political ideology if coerce_nonnuclear_opp !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-335.53094}  
Iteration 1:{space 3}log pseudolikelihood = {res: -327.3614}  
Iteration 2:{space 3}log pseudolikelihood = {res:-327.32653}  
Iteration 3:{space 3}log pseudolikelihood = {res:-327.32652}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       289
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     19.49
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0529
{txt}Log pseudolikelihood = {res}-327.32652{txt}{col 49}Pseudo R2{col 67}= {res}    0.0245

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}coerce_nonnuclear_opp{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}age {c |}{col 23}{res}{space 2}-.0139873{col 35}{space 2} .0120894{col 46}{space 1}   -1.16{col 55}{space 3}0.247{col 63}{space 4} -.037682{col 76}{space 3} .0097074
{txt}{space 18}sex {c |}{col 23}{res}{space 2}-.6753194{col 35}{space 2}  .328789{col 46}{space 1}   -2.05{col 55}{space 3}0.040{col 63}{space 4}-1.319734{col 76}{space 3}-.0309049
{txt}{space 13}minority {c |}{col 23}{res}{space 2}-.3787392{col 35}{space 2} .3541049{col 46}{space 1}   -1.07{col 55}{space 3}0.285{col 63}{space 4}-1.072772{col 76}{space 3} .3152936
{txt}{space 13}military {c |}{col 23}{res}{space 2} .3052479{col 35}{space 2}  .401611{col 46}{space 1}    0.76{col 55}{space 3}0.447{col 63}{space 4}-.4818952{col 76}{space 3} 1.092391
{txt}{space 17}rank {c |}{col 23}{res}{space 2} .0232223{col 35}{space 2} .1042653{col 46}{space 1}    0.22{col 55}{space 3}0.824{col 63}{space 4}-.1811338{col 76}{space 3} .2275785
{txt}{space 11}experience {c |}{col 23}{res}{space 2}-.0052489{col 35}{space 2}  .011349{col 46}{space 1}   -0.46{col 55}{space 3}0.644{col 63}{space 4}-.0274925{col 76}{space 3} .0169948
{txt}{space 12}education {c |}{col 23}{res}{space 2}-.0769566{col 35}{space 2} .0969967{col 46}{space 1}   -0.79{col 55}{space 3}0.428{col 63}{space 4}-.2670666{col 76}{space 3} .1131534
{txt}{space 11}university {c |}{col 23}{res}{space 2} .3866005{col 35}{space 2} .2627073{col 46}{space 1}    1.47{col 55}{space 3}0.141{col 63}{space 4}-.1282964{col 76}{space 3} .9014974
{txt}{space 8}international {c |}{col 23}{res}{space 2}-.3783309{col 35}{space 2} .2421268{col 46}{space 1}   -1.56{col 55}{space 3}0.118{col 63}{space 4}-.8528907{col 76}{space 3} .0962288
{txt}{space 12}political {c |}{col 23}{res}{space 2}-.2761882{col 35}{space 2}  .315217{col 46}{space 1}   -0.88{col 55}{space 3}0.381{col 63}{space 4}-.8940022{col 76}{space 3} .3416259
{txt}{space 13}ideology {c |}{col 23}{res}{space 2} .1791885{col 35}{space 2} .1244417{col 46}{space 1}    1.44{col 55}{space 3}0.150{col 63}{space 4}-.0647128{col 76}{space 3} .4230898
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                /cut1 {c |}{col 23}{res}{space 2}-2.552041{col 35}{space 2} .7673172{col 63}{space 4}-4.055956{col 76}{space 3}-1.048127
{txt}                /cut2 {c |}{col 23}{res}{space 2}-.5436121{col 35}{space 2} .7623348{col 63}{space 4}-2.037761{col 76}{space 3} .9505367
{txt}                /cut3 {c |}{col 23}{res}{space 2} 2.411146{col 35}{space 2} .8525395{col 63}{space 4} .7401996{col 76}{space 3} 4.082093
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. esttab M1 M2 M3 M4 M5, nodepvars nomtitles se(3) pr2 b(3) star(* 0.05 ** 0.01 *** 0.001) title(Table 4: Ordered Logit Estimates of Policymaker Views on Nuclear Deterrence and Coercion) varwidth(50)
{res}
{txt}Table 4: Ordered Logit Estimates of Policymaker Views on Nuclear Deterrence and Coercion
{txt}{hline 130}
{txt}                                                            (1)             (2)             (3)             (4)             (5)   
{txt}{hline 130}
{res}main                                                                                                                              {txt}
{txt}age                                               {res}       -0.011          -0.023          -0.019          -0.001          -0.014   {txt}
                                                  {res} {ralign 12:{txt:(}0.014{txt:)}}    {ralign 12:{txt:(}0.013{txt:)}}    {ralign 12:{txt:(}0.014{txt:)}}    {ralign 12:{txt:(}0.012{txt:)}}    {ralign 12:{txt:(}0.012{txt:)}}   {txt}

{txt}sex                                               {res}        1.187***        0.111           0.027          -0.463          -0.675*  {txt}
                                                  {res} {ralign 12:{txt:(}0.353{txt:)}}    {ralign 12:{txt:(}0.279{txt:)}}    {ralign 12:{txt:(}0.292{txt:)}}    {ralign 12:{txt:(}0.320{txt:)}}    {ralign 12:{txt:(}0.329{txt:)}}   {txt}

{txt}minority                                          {res}       -0.564           0.057          -0.332          -0.326          -0.379   {txt}
                                                  {res} {ralign 12:{txt:(}0.440{txt:)}}    {ralign 12:{txt:(}0.428{txt:)}}    {ralign 12:{txt:(}0.394{txt:)}}    {ralign 12:{txt:(}0.348{txt:)}}    {ralign 12:{txt:(}0.354{txt:)}}   {txt}

{txt}military                                          {res}       -0.468           0.310          -0.204           0.948*          0.305   {txt}
                                                  {res} {ralign 12:{txt:(}0.413{txt:)}}    {ralign 12:{txt:(}0.450{txt:)}}    {ralign 12:{txt:(}0.384{txt:)}}    {ralign 12:{txt:(}0.399{txt:)}}    {ralign 12:{txt:(}0.402{txt:)}}   {txt}

{txt}rank                                              {res}       -0.000           0.113          -0.052          -0.051           0.023   {txt}
                                                  {res} {ralign 12:{txt:(}0.121{txt:)}}    {ralign 12:{txt:(}0.109{txt:)}}    {ralign 12:{txt:(}0.115{txt:)}}    {ralign 12:{txt:(}0.108{txt:)}}    {ralign 12:{txt:(}0.104{txt:)}}   {txt}

{txt}experience                                        {res}       -0.002           0.000          -0.012          -0.007          -0.005   {txt}
                                                  {res} {ralign 12:{txt:(}0.012{txt:)}}    {ralign 12:{txt:(}0.012{txt:)}}    {ralign 12:{txt:(}0.011{txt:)}}    {ralign 12:{txt:(}0.010{txt:)}}    {ralign 12:{txt:(}0.011{txt:)}}   {txt}

{txt}education                                         {res}       -0.119           0.178*          0.033          -0.029          -0.077   {txt}
                                                  {res} {ralign 12:{txt:(}0.098{txt:)}}    {ralign 12:{txt:(}0.089{txt:)}}    {ralign 12:{txt:(}0.091{txt:)}}    {ralign 12:{txt:(}0.100{txt:)}}    {ralign 12:{txt:(}0.097{txt:)}}   {txt}

{txt}university                                        {res}        0.064          -0.332          -0.148          -0.033           0.387   {txt}
                                                  {res} {ralign 12:{txt:(}0.276{txt:)}}    {ralign 12:{txt:(}0.274{txt:)}}    {ralign 12:{txt:(}0.284{txt:)}}    {ralign 12:{txt:(}0.274{txt:)}}    {ralign 12:{txt:(}0.263{txt:)}}   {txt}

{txt}international                                     {res}       -0.044          -0.190          -0.065          -0.352          -0.378   {txt}
                                                  {res} {ralign 12:{txt:(}0.257{txt:)}}    {ralign 12:{txt:(}0.263{txt:)}}    {ralign 12:{txt:(}0.245{txt:)}}    {ralign 12:{txt:(}0.256{txt:)}}    {ralign 12:{txt:(}0.242{txt:)}}   {txt}

{txt}political                                         {res}        0.447           0.153          -0.265          -0.282          -0.276   {txt}
                                                  {res} {ralign 12:{txt:(}0.352{txt:)}}    {ralign 12:{txt:(}0.287{txt:)}}    {ralign 12:{txt:(}0.318{txt:)}}    {ralign 12:{txt:(}0.301{txt:)}}    {ralign 12:{txt:(}0.315{txt:)}}   {txt}

{txt}ideology                                          {res}        0.144          -0.035          -0.067          -0.058           0.179   {txt}
                                                  {res} {ralign 12:{txt:(}0.128{txt:)}}    {ralign 12:{txt:(}0.121{txt:)}}    {ralign 12:{txt:(}0.129{txt:)}}    {ralign 12:{txt:(}0.130{txt:)}}    {ralign 12:{txt:(}0.124{txt:)}}   {txt}
{hline 130}
{res}cut1                                                                                                                              {txt}
{txt}_cons                                             {res}       -5.536***       -3.437***       -3.780***       -2.655**        -2.552***{txt}
                                                  {res} {ralign 12:{txt:(}1.355{txt:)}}    {ralign 12:{txt:(}0.838{txt:)}}    {ralign 12:{txt:(}0.831{txt:)}}    {ralign 12:{txt:(}0.836{txt:)}}    {ralign 12:{txt:(}0.767{txt:)}}   {txt}
{hline 130}
{res}cut2                                                                                                                              {txt}
{txt}_cons                                             {res}       -2.756**        -1.351          -1.978*         -0.569          -0.544   {txt}
                                                  {res} {ralign 12:{txt:(}0.962{txt:)}}    {ralign 12:{txt:(}0.790{txt:)}}    {ralign 12:{txt:(}0.807{txt:)}}    {ralign 12:{txt:(}0.823{txt:)}}    {ralign 12:{txt:(}0.762{txt:)}}   {txt}
{hline 130}
{res}cut3                                                                                                                              {txt}
{txt}_cons                                             {res}        0.469           1.132           0.285           2.310*          2.411** {txt}
                                                  {res} {ralign 12:{txt:(}0.905{txt:)}}    {ralign 12:{txt:(}0.794{txt:)}}    {ralign 12:{txt:(}0.797{txt:)}}    {ralign 12:{txt:(}0.917{txt:)}}    {ralign 12:{txt:(}0.853{txt:)}}   {txt}
{txt}{hline 130}
{txt}N                                                 {res}          293             293             293             292             289   {txt}
{txt}pseudo R-sq                                       {res}        0.041           0.016           0.015           0.019           0.024   {txt}
{txt}{hline 130}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. 
. ** Table 5: IR Faculty Ordered Logit Estimates **
. 
. eststo M6: ologit deter_nuclear_strikes_ir sex_ir minority_ir rank_ir ideology_ir if deter_nuclear_strikes_ir !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1216.3975}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1180.8889}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1180.725}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1180.7249}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,212
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}     69.68
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1180.7249{txt}{col 49}Pseudo R2{col 67}= {res}    0.0293

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}deter_nuclear_strikes_ir{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}sex_ir {c |}{col 26}{res}{space 2}  .971536{col 38}{space 2} .1291636{col 49}{space 1}    7.52{col 58}{space 3}0.000{col 66}{space 4} .7183799{col 79}{space 3} 1.224692
{txt}{space 13}minority_ir {c |}{col 26}{res}{space 2}-.2836123{col 38}{space 2} .1497945{col 49}{space 1}   -1.89{col 58}{space 3}0.058{col 66}{space 4}-.5772041{col 79}{space 3} .0099795
{txt}{space 17}rank_ir {c |}{col 26}{res}{space 2}-.1208584{col 38}{space 2} .0671654{col 49}{space 1}   -1.80{col 58}{space 3}0.072{col 66}{space 4}-.2525001{col 79}{space 3} .0107834
{txt}{space 13}ideology_ir {c |}{col 26}{res}{space 2} .1118879{col 38}{space 2} .0611002{col 49}{space 1}    1.83{col 58}{space 3}0.067{col 66}{space 4}-.0078664{col 79}{space 3} .2316421
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                   /cut1 {c |}{col 26}{res}{space 2}-3.113921{col 38}{space 2} .2758844{col 66}{space 4}-3.654644{col 79}{space 3}-2.573197
{txt}                   /cut2 {c |}{col 26}{res}{space 2}-1.605999{col 38}{space 2} .2255433{col 66}{space 4}-2.048056{col 79}{space 3}-1.163943
{txt}                   /cut3 {c |}{col 26}{res}{space 2} .7532373{col 38}{space 2} .2137904{col 66}{space 4} .3342158{col 79}{space 3} 1.172259
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M7: ologit deter_conv_nuclear_opp_ir sex_ir minority_ir rank_ir ideology_ir if deter_conv_nuclear_opp_ir !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -1482.798}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1474.5538}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1474.5401}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1474.5401}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,203
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}     15.39
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0040
{txt}Log pseudolikelihood = {res}-1474.5401{txt}{col 49}Pseudo R2{col 67}= {res}    0.0056

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}deter_conv_nuclear_opp_ir{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}sex_ir {c |}{col 27}{res}{space 2} .4595803{col 39}{space 2} .1236384{col 50}{space 1}    3.72{col 59}{space 3}0.000{col 67}{space 4} .2172534{col 80}{space 3} .7019072
{txt}{space 14}minority_ir {c |}{col 27}{res}{space 2} .2559296{col 39}{space 2} .1564925{col 50}{space 1}    1.64{col 59}{space 3}0.102{col 67}{space 4}-.0507901{col 80}{space 3} .5626492
{txt}{space 18}rank_ir {c |}{col 27}{res}{space 2}-.0178408{col 39}{space 2} .0635209{col 50}{space 1}   -0.28{col 59}{space 3}0.779{col 67}{space 4}-.1423395{col 80}{space 3}  .106658
{txt}{space 14}ideology_ir {c |}{col 27}{res}{space 2}-.0075285{col 39}{space 2} .0565024{col 50}{space 1}   -0.13{col 59}{space 3}0.894{col 67}{space 4}-.1182712{col 80}{space 3} .1032141
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    /cut1 {c |}{col 27}{res}{space 2}-1.769945{col 39}{space 2} .2144099{col 67}{space 4}-2.190181{col 80}{space 3} -1.34971
{txt}                    /cut2 {c |}{col 27}{res}{space 2}-.4032403{col 39}{space 2} .2037971{col 67}{space 4}-.8026753{col 80}{space 3}-.0038054
{txt}                    /cut3 {c |}{col 27}{res}{space 2} 1.858066{col 39}{space 2} .2127551{col 67}{space 4} 1.441074{col 80}{space 3} 2.275059
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M8: ologit deter_conv_nonnuclear_opp_ir sex_ir minority_ir rank_ir ideology_ir if deter_conv_nonnuclear_opp_ir !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1552.7025}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1543.4618}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -1543.45}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -1543.45}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,197
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}     17.84
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0013
{txt}Log pseudolikelihood = {res}  -1543.45{txt}{col 49}Pseudo R2{col 67}= {res}    0.0060

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}deter_conv_nonnuclear_opp_ir{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 22}sex_ir {c |}{col 30}{res}{space 2} .4063037{col 42}{space 2} .1219287{col 53}{space 1}    3.33{col 62}{space 3}0.001{col 70}{space 4}  .167328{col 83}{space 3} .6452795
{txt}{space 17}minority_ir {c |}{col 30}{res}{space 2} .3560205{col 42}{space 2} .1404062{col 53}{space 1}    2.54{col 62}{space 3}0.011{col 70}{space 4} .0808295{col 83}{space 3} .6312115
{txt}{space 21}rank_ir {c |}{col 30}{res}{space 2}-.0903854{col 42}{space 2} .0633275{col 53}{space 1}   -1.43{col 62}{space 3}0.154{col 70}{space 4} -.214505{col 83}{space 3} .0337343
{txt}{space 17}ideology_ir {c |}{col 30}{res}{space 2} -.002034{col 42}{space 2} .0608776{col 53}{space 1}   -0.03{col 62}{space 3}0.973{col 70}{space 4}-.1213519{col 83}{space 3} .1172838
{txt}{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       /cut1 {c |}{col 30}{res}{space 2}-1.808017{col 42}{space 2}   .21408{col 70}{space 4}-2.227606{col 83}{space 3}-1.388428
{txt}                       /cut2 {c |}{col 30}{res}{space 2}-.4802094{col 42}{space 2} .2075011{col 70}{space 4} -.886904{col 83}{space 3}-.0735148
{txt}                       /cut3 {c |}{col 30}{res}{space 2} 1.348573{col 42}{space 2} .2115969{col 70}{space 4} .9338506{col 83}{space 3} 1.763295
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M9: ologit coerce_nuclear_opp_ir sex_ir minority_ir rank_ir ideology_ir if coerce_nuclear_opp_ir !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1433.2104}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1426.0829}  
Iteration 2:{space 3}log pseudolikelihood = {res: -1426.077}  
Iteration 3:{space 3}log pseudolikelihood = {res: -1426.077}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,209
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}     14.72
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0053
{txt}Log pseudolikelihood = {res} -1426.077{txt}{col 49}Pseudo R2{col 67}= {res}    0.0050

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}coerce_nuclear_opp_ir{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}sex_ir {c |}{col 23}{res}{space 2}-.2747774{col 35}{space 2} .1199968{col 46}{space 1}   -2.29{col 55}{space 3}0.022{col 63}{space 4}-.5099668{col 76}{space 3} -.039588
{txt}{space 10}minority_ir {c |}{col 23}{res}{space 2} .3476737{col 35}{space 2} .1437792{col 46}{space 1}    2.42{col 55}{space 3}0.016{col 63}{space 4} .0658717{col 76}{space 3} .6294758
{txt}{space 14}rank_ir {c |}{col 23}{res}{space 2}-.0444366{col 35}{space 2} .0633807{col 46}{space 1}   -0.70{col 55}{space 3}0.483{col 63}{space 4}-.1686606{col 76}{space 3} .0797873
{txt}{space 10}ideology_ir {c |}{col 23}{res}{space 2} .0514801{col 35}{space 2} .0567097{col 46}{space 1}    0.91{col 55}{space 3}0.364{col 63}{space 4}-.0596689{col 76}{space 3}  .162629
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                /cut1 {c |}{col 23}{res}{space 2}-.7697716{col 35}{space 2} .1957674{col 63}{space 4}-1.153469{col 76}{space 3}-.3860745
{txt}                /cut2 {c |}{col 23}{res}{space 2} 1.015469{col 35}{space 2} .1972967{col 63}{space 4} .6287748{col 76}{space 3} 1.402164
{txt}                /cut3 {c |}{col 23}{res}{space 2} 3.118283{col 35}{space 2}  .230279{col 63}{space 4} 2.666944{col 76}{space 3} 3.569621
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M10: ologit coerce_nonnuclear_opp_ir sex_ir minority_ir rank_ir ideology_ir if coerce_nonnuclear_opp_ir !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1521.2605}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1508.2359}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1508.2152}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1508.2152}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     1,203
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}     25.08
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-1508.2152{txt}{col 49}Pseudo R2{col 67}= {res}    0.0086

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}coerce_nonnuclear_opp_ir{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}sex_ir {c |}{col 26}{res}{space 2}-.1830962{col 38}{space 2}  .126725{col 49}{space 1}   -1.44{col 58}{space 3}0.149{col 66}{space 4}-.4314726{col 79}{space 3} .0652803
{txt}{space 13}minority_ir {c |}{col 26}{res}{space 2} .4558467{col 38}{space 2} .1416433{col 49}{space 1}    3.22{col 58}{space 3}0.001{col 66}{space 4} .1782308{col 79}{space 3} .7334625
{txt}{space 17}rank_ir {c |}{col 26}{res}{space 2}-.1804556{col 38}{space 2} .0639214{col 49}{space 1}   -2.82{col 58}{space 3}0.005{col 66}{space 4}-.3057393{col 79}{space 3} -.055172
{txt}{space 13}ideology_ir {c |}{col 26}{res}{space 2} .0630073{col 38}{space 2} .0591934{col 49}{space 1}    1.06{col 58}{space 3}0.287{col 66}{space 4}-.0530097{col 79}{space 3} .1790242
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                   /cut1 {c |}{col 26}{res}{space 2} -1.49661{col 38}{space 2} .1987397{col 66}{space 4}-1.886133{col 79}{space 3}-1.107087
{txt}                   /cut2 {c |}{col 26}{res}{space 2} .2461206{col 38}{space 2} .1939226{col 66}{space 4}-.1339606{col 79}{space 3} .6262018
{txt}                   /cut3 {c |}{col 26}{res}{space 2} 2.229121{col 38}{space 2} .2104381{col 66}{space 4}  1.81667{col 79}{space 3} 2.641573
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. esttab M6 M7 M8 M9 M10, nodepvars nomtitles se(3) pr2 b(3) star(* 0.05 ** 0.01 *** 0.001) title(Table 5: Ordered Logit Estimates of IR Faculty Views on Nuclear Deterrence and Coercion) varwidth(50)
{res}
{txt}Table 5: Ordered Logit Estimates of IR Faculty Views on Nuclear Deterrence and Coercion
{txt}{hline 130}
{txt}                                                            (1)             (2)             (3)             (4)             (5)   
{txt}{hline 130}
{res}main                                                                                                                              {txt}
{txt}sex_ir                                            {res}        0.972***        0.460***        0.406***       -0.275*         -0.183   {txt}
                                                  {res} {ralign 12:{txt:(}0.129{txt:)}}    {ralign 12:{txt:(}0.124{txt:)}}    {ralign 12:{txt:(}0.122{txt:)}}    {ralign 12:{txt:(}0.120{txt:)}}    {ralign 12:{txt:(}0.127{txt:)}}   {txt}

{txt}minority_ir                                       {res}       -0.284           0.256           0.356*          0.348*          0.456** {txt}
                                                  {res} {ralign 12:{txt:(}0.150{txt:)}}    {ralign 12:{txt:(}0.156{txt:)}}    {ralign 12:{txt:(}0.140{txt:)}}    {ralign 12:{txt:(}0.144{txt:)}}    {ralign 12:{txt:(}0.142{txt:)}}   {txt}

{txt}rank_ir                                           {res}       -0.121          -0.018          -0.090          -0.044          -0.180** {txt}
                                                  {res} {ralign 12:{txt:(}0.067{txt:)}}    {ralign 12:{txt:(}0.064{txt:)}}    {ralign 12:{txt:(}0.063{txt:)}}    {ralign 12:{txt:(}0.063{txt:)}}    {ralign 12:{txt:(}0.064{txt:)}}   {txt}

{txt}ideology_ir                                       {res}        0.112          -0.008          -0.002           0.051           0.063   {txt}
                                                  {res} {ralign 12:{txt:(}0.061{txt:)}}    {ralign 12:{txt:(}0.057{txt:)}}    {ralign 12:{txt:(}0.061{txt:)}}    {ralign 12:{txt:(}0.057{txt:)}}    {ralign 12:{txt:(}0.059{txt:)}}   {txt}
{hline 130}
{res}cut1                                                                                                                              {txt}
{txt}_cons                                             {res}       -3.114***       -1.770***       -1.808***       -0.770***       -1.497***{txt}
                                                  {res} {ralign 12:{txt:(}0.276{txt:)}}    {ralign 12:{txt:(}0.214{txt:)}}    {ralign 12:{txt:(}0.214{txt:)}}    {ralign 12:{txt:(}0.196{txt:)}}    {ralign 12:{txt:(}0.199{txt:)}}   {txt}
{hline 130}
{res}cut2                                                                                                                              {txt}
{txt}_cons                                             {res}       -1.606***       -0.403*         -0.480*          1.015***        0.246   {txt}
                                                  {res} {ralign 12:{txt:(}0.226{txt:)}}    {ralign 12:{txt:(}0.204{txt:)}}    {ralign 12:{txt:(}0.208{txt:)}}    {ralign 12:{txt:(}0.197{txt:)}}    {ralign 12:{txt:(}0.194{txt:)}}   {txt}
{hline 130}
{res}cut3                                                                                                                              {txt}
{txt}_cons                                             {res}        0.753***        1.858***        1.349***        3.118***        2.229***{txt}
                                                  {res} {ralign 12:{txt:(}0.214{txt:)}}    {ralign 12:{txt:(}0.213{txt:)}}    {ralign 12:{txt:(}0.212{txt:)}}    {ralign 12:{txt:(}0.230{txt:)}}    {ralign 12:{txt:(}0.210{txt:)}}   {txt}
{txt}{hline 130}
{txt}N                                                 {res}         1212            1203            1197            1209            1203   {txt}
{txt}pseudo R-sq                                       {res}        0.029           0.006           0.006           0.005           0.009   {txt}
{txt}{hline 130}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. 
. ** Figure 4 **
. * Confidence in Taboo *
. 
. * Policy *
. tab taboo_uk_france

      {txt}Taboo {c |}
 confidence {c |}
     UK and {c |}
     France {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          2        2.41        2.41
{txt}          2 {c |}{res}          5        6.02        8.43
{txt}          3 {c |}{res}         24       28.92       37.35
{txt}          4 {c |}{res}         52       62.65      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         83      100.00
{txt}
{com}. tab taboo_russia_china

      {txt}Taboo {c |}
 confidence {c |}
 Russia and {c |}
      China {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         10       10.64       10.64
{txt}          2 {c |}{res}         25       26.60       37.23
{txt}          3 {c |}{res}         50       53.19       90.43
{txt}          4 {c |}{res}          9        9.57      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         94      100.00
{txt}
{com}. 
. * Faculty *
. 
. tab taboo_uk_france_ir

      {txt}Taboo {c |}
 confidence {c |}
UK & France {c |}
   4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         19        4.49        4.49
{txt}          2 {c |}{res}         39        9.22       13.71
{txt}          3 {c |}{res}        152       35.93       49.65
{txt}          4 {c |}{res}        201       47.52       97.16
{txt}          9 {c |}{res}         12        2.84      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        423      100.00
{txt}
{com}. tab taboo_russia_china_ir

      {txt}Taboo {c |}
 confidence {c |}
   Russia & {c |}
  China 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         34        7.85        7.85
{txt}          2 {c |}{res}         87       20.09       27.94
{txt}          3 {c |}{res}        218       50.35       78.29
{txt}          4 {c |}{res}         89       20.55       98.85
{txt}          9 {c |}{res}          5        1.15      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        433      100.00
{txt}
{com}. tab taboo_us_ir

      {txt}Taboo {c |}
 confidence {c |}
US 4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         35        8.16        8.16
{txt}          2 {c |}{res}         93       21.68       29.84
{txt}          3 {c |}{res}        218       50.82       80.65
{txt}          4 {c |}{res}         78       18.18       98.83
{txt}          9 {c |}{res}          5        1.17      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        429      100.00
{txt}
{com}. 
. ** Figure 5 **
. * Difference of Means in Taboo *
. 
. * Policy *
. ttest taboo_confidence, by(uk_france) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     94{col 22} 2.617021{col 34} .0829925{col 46} .8046422{col 58} 2.452215{col 70} 2.781828
       {txt}1 {c |}{res}{col 12}     83{col 22} 3.518072{col 34}  .079229{col 46} .7218108{col 58} 3.360461{col 70} 3.675684
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    177{col 22} 3.039548{col 34} .0667316{col 46} .8878062{col 58} 2.907851{col 70} 3.171245
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.901051{col 34} .1147388{col 58}-1.127484{col 70}-.6746185
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -7.8531
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 176.959

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ci means taboo_uk_france

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
taboo_uk_f~e {c |}{col 16}{res}        83{col 29} 3.518072{col 41}  .079229{col 57} 3.360461{col 69} 3.675684{txt}

{com}. ci means taboo_russia_china

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
taboo_russ~a {c |}{col 16}{res}        94{col 29} 2.617021{col 41} .0829925{col 57} 2.452215{col 69} 2.781828{txt}

{com}. 
. * Faculty *
. ttest taboo_confidenceufcr_ir, by(uk_france_ir) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    428{col 22} 2.845794{col 34} .0406387{col 46} .8407402{col 58} 2.765918{col 70} 2.925671
       {txt}1 {c |}{res}{col 12}    411{col 22} 3.301703{col 34} .0406602{col 46} .8243087{col 58} 3.221775{col 70} 3.381632
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    839{col 22}  3.06913{col 34} .0297911{col 46} .8629129{col 58} 3.010656{col 70} 3.127604
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.4559088{col 34}  .057487{col 58} -.568744{col 70}-.3430735
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -7.9306
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 838.638

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ci means taboo_uk_france_ir if taboo_uk_france_ir != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
taboo_uk_f~r {c |}{col 16}{res}       411{col 29} 3.301703{col 41} .0406602{col 57} 3.221775{col 69} 3.381632{txt}

{com}. ci means taboo_russia_china_ir if taboo_russia_china_ir != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
taboo_russ~r {c |}{col 16}{res}       428{col 29} 2.845794{col 41} .0406387{col 57} 2.765918{col 69} 2.925671{txt}

{com}. 
. ttest taboo_confidenceufu_ir, by(us_ir) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    411{col 22} 3.301703{col 34} .0406602{col 46} .8243087{col 58} 3.221775{col 70} 3.381632
       {txt}1 {c |}{res}{col 12}    424{col 22} 2.799528{col 34} .0404847{col 46}  .833631{col 58} 2.719952{col 70} 2.879105
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    835{col 22} 3.046707{col 34} .0299623{col 46} .8658028{col 58} 2.987896{col 70} 3.105517
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .5021749{col 34} .0573782{col 58} .3895523{col 70} .6147974
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  8.7520
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res}  834.67

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ci means taboo_us_ir if taboo_us_ir != 9

{txt}    Variable {c |}        Obs        Mean    Std. Err.       [95% Conf. Interval]
{hline 13}{c +}{hline 63}
 taboo_us_ir {c |}{col 16}{res}       424{col 29} 2.799528{col 41} .0404847{col 57} 2.719952{col 69} 2.879105{txt}

{com}. 
. ttest taboo_confidencecru_ir, by(us_ir) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    428{col 22} 2.845794{col 34} .0406387{col 46} .8407402{col 58} 2.765918{col 70} 2.925671
       {txt}1 {c |}{res}{col 12}    424{col 22} 2.799528{col 34} .0404847{col 46}  .833631{col 58} 2.719952{col 70} 2.879105
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    852{col 22}  2.82277{col 34} .0286764{col 46} .8370379{col 58} 2.766485{col 70} 2.879055
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0462661{col 34}  .057363{col 58}-.0663233{col 70} .1588555
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.8065
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 851.999

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7899         {txt}Pr(|T| > |t|) = {res}0.4202          {txt}Pr(T > t) = {res}0.2101
{txt}
{com}. 
. * Policy - Faculty Views of Taboo *
. 
. ttest j_taboo_uk_france, by(policy_survey) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    411{col 22} 3.301703{col 34} .0406602{col 46} .8243087{col 58} 3.221775{col 70} 3.381632
       {txt}1 {c |}{res}{col 12}     83{col 22} 3.518072{col 34}  .079229{col 46} .7218108{col 58} 3.360461{col 70} 3.675684
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    494{col 22} 3.338057{col 34} .0365048{col 46} .8113602{col 58} 3.266332{col 70} 3.409781
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2163691{col 34} .0890533{col 58}-.3925478{col 70}-.0401904
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.4297
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 130.203

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0082         {txt}Pr(|T| > |t|) = {res}0.0165          {txt}Pr(T > t) = {res}0.9918
{txt}
{com}. ttest j_taboo_russia_china, by(policy_survey) welch

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    428{col 22} 2.845794{col 34} .0406387{col 46} .8407402{col 58} 2.765918{col 70} 2.925671
       {txt}1 {c |}{res}{col 12}     94{col 22} 2.617021{col 34} .0829925{col 46} .8046422{col 58} 2.452215{col 70} 2.781828
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    522{col 22} 2.804598{col 34} .0366883{col 46} .8382288{col 58} 2.732523{col 70} 2.876673
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2287731{col 34} .0924081{col 58} .0461017{col 70} .4114445
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.4757
{txt}Ho: diff = 0                             Welch's degrees of freedom = {res} 142.183

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9928         {txt}Pr(|T| > |t|) = {res}0.0145          {txt}Pr(T > t) = {res}0.0072
{txt}
{com}. 
. ** Footnote 9 Replication **
. * Note all variables exclude Don't Know responses *
. 
. * Mann-Whitney test *
. 
. * Policy *
. 
. ranksum taboo_confidence, by(uk_france) 

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

   uk_france {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
           0 {c |}{res}{col 17}     94{col 26}    6050.5{col 38}      8366
           {txt}1 {c |}{res}{col 17}     83{col 26}    9702.5{col 38}      7387
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    177{col 26}     15753{col 38}     15753

{txt}unadjusted variance{col 22}{res} 115729.67
{txt}adjustment for ties{col 22}{res} -13790.50
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res} 101939.17

{txt}Ho: ta~dence(uk_fra~e==0) = ta~dence(uk_fra~e==1)
{col 14}z = {res} -7.252
{txt}{col 5}Prob > |z| = {res}  0.0000
{txt}
{com}. 
. * Faculty * 
. 
. ranksum taboo_confidenceufcr_ir, by(uk_france_ir) 

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

uk_france_ir {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
           0 {c |}{res}{col 17}    428{col 26}    152325{col 38}    179760
           {txt}1 {c |}{res}{col 17}    411{col 26}    200055{col 38}    172620
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    839{col 26}    352380{col 38}    352380

{txt}unadjusted variance{col 22}{res}  12313560
{txt}adjustment for ties{col 22}{res}-1609391.6
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}  10704168

{txt}Ho: tab~r_ir(uk_fra~r==0) = tab~r_ir(uk_fra~r==1)
{col 14}z = {res} -8.385
{txt}{col 5}Prob > |z| = {res}  0.0000
{txt}
{com}. ranksum taboo_confidenceufu_ir, by(us_ir) 

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       us_ir {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
           0 {c |}{res}{col 17}    411{col 26}    201586{col 38}    171798
           {txt}1 {c |}{res}{col 17}    424{col 26}    147444{col 38}    177232
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    835{col 26}    349030{col 38}    349030

{txt}unadjusted variance{col 22}{res}  12140392
{txt}adjustment for ties{col 22}{res}-1560391.6
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}  10580000

{txt}Ho: ta~fu_ir(us_ir==0) = ta~fu_ir(us_ir==1)
{col 14}z = {res}  9.158
{txt}{col 5}Prob > |z| = {res}  0.0000
{txt}
{com}. ranksum taboo_confidencecru_ir, by(us_ir) 

{txt}Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       us_ir {c |}      obs    rank sum    expected
{hline 13}{c +}{hline 33}
           0 {c |}{res}{col 17}    428{col 26}  185422.5{col 38}    182542
           {txt}1 {c |}{res}{col 17}    424{col 26}  177955.5{col 38}    180836
{txt}{hline 13}{c +}{hline 33}
    combined {c |}{res}{col 17}    852{col 26}    363378{col 38}    363378

{txt}unadjusted variance{col 22}{res}  12899635
{txt}adjustment for ties{col 22}{res}-1954312.8
{txt}{col 22}{hline 10}
adjusted variance{col 22}{res}  10945322

{txt}Ho: ta~ru_ir(us_ir==0) = ta~ru_ir(us_ir==1)
{col 14}z = {res}  0.871
{txt}{col 5}Prob > |z| = {res}  0.3839
{txt}
{com}. 
. * Nonparametric equality of means test *
. 
. * Policy *
. 
. median taboo_confidence, by(uk_france) 

{txt}Median test

   Greater {c |}  United Kingdom and
  than the {c |}      France = 1
    median {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        no {c |}{res}        85         31 {txt}{c |}{res}       116 
{txt}       yes {c |}{res}         9         52 {txt}{c |}{res}        61 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}        94         83 {txt}{c |}{res}       177 

{txt}          Pearson chi2({res}1{txt}) = {res} 54.9781  {txt} Pr = {res}0.000

{txt}   Continuity corrected:
          Pearson chi2({res}1{txt}) = {res} 52.6533{txt}   Pr = {res}0.000
{txt}
{com}. 
. * Faculty *
. 
. median taboo_confidenceufcr_ir, by(uk_france_ir) 

{txt}Median test

           {c |}   Faculty assigned
   Greater {c |}  United Kingdom and
  than the {c |}        France
    median {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        no {c |}{res}       339        210 {txt}{c |}{res}       549 
{txt}       yes {c |}{res}        89        201 {txt}{c |}{res}       290 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       428        411 {txt}{c |}{res}       839 

{txt}          Pearson chi2({res}1{txt}) = {res} 73.2523  {txt} Pr = {res}0.000

{txt}   Continuity corrected:
          Pearson chi2({res}1{txt}) = {res} 72.0147{txt}   Pr = {res}0.000
{txt}
{com}. median taboo_confidenceufu_ir, by(us_ir) 

{txt}Median test

   Greater {c |}   Faculty assigned
  than the {c |}     United States
    median {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        no {c |}{res}       210        346 {txt}{c |}{res}       556 
{txt}       yes {c |}{res}       201         78 {txt}{c |}{res}       279 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       411        424 {txt}{c |}{res}       835 

{txt}          Pearson chi2({res}1{txt}) = {res} 87.3108  {txt} Pr = {res}0.000

{txt}   Continuity corrected:
          Pearson chi2({res}1{txt}) = {res} 85.9449{txt}   Pr = {res}0.000
{txt}
{com}. median taboo_confidencecru_ir, by(us_ir) 

{txt}Median test

   Greater {c |}   Faculty assigned
  than the {c |}     United States
    median {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        no {c |}{res}       339        346 {txt}{c |}{res}       685 
{txt}       yes {c |}{res}        89         78 {txt}{c |}{res}       167 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       428        424 {txt}{c |}{res}       852 

{txt}          Pearson chi2({res}1{txt}) = {res}  0.7773  {txt} Pr = {res}0.378

{txt}   Continuity corrected:
          Pearson chi2({res}1{txt}) = {res}  0.6326{txt}   Pr = {res}0.426
{txt}
{com}. 
. *** Online Appendix Replication Commands ***
. 
. * Figure A.1 Policy - Sex *
. 
. tab deter_nuclear_strikes if sex == 1

      {txt}Deter {c |}
    nuclear {c |}
    strikes {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          1        0.40        0.40
{txt}          2 {c |}{res}          8        3.20        3.60
{txt}          3 {c |}{res}        114       45.60       49.20
{txt}          4 {c |}{res}        127       50.80      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        250      100.00
{txt}
{com}. tab deter_conv_nuclear_opp if sex == 1

      {txt}Deter {c |}
conventiona {c |}
  l attacks {c |}
 by nuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         16        6.40        6.40
{txt}          2 {c |}{res}         73       29.20       35.60
{txt}          3 {c |}{res}        124       49.60       85.20
{txt}          4 {c |}{res}         37       14.80      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        250      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp if sex == 1

      {txt}Deter {c |}
conventiona {c |}
l attack by {c |}
 nonnuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         37       14.80       14.80
{txt}          2 {c |}{res}         82       32.80       47.60
{txt}          3 {c |}{res}        100       40.00       87.60
{txt}          4 {c |}{res}         29       11.60       99.20
{txt}          9 {c |}{res}          2        0.80      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        250      100.00
{txt}
{com}. tab coerce_nuclear_opp if sex == 1

     {txt}Coerce {c |}
    nuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         49       19.60       19.60
{txt}          2 {c |}{res}        112       44.80       64.40
{txt}          3 {c |}{res}         78       31.20       95.60
{txt}          4 {c |}{res}         10        4.00       99.60
{txt}          9 {c |}{res}          1        0.40      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        250      100.00
{txt}
{com}. tab coerce_nonnuclear_opp if sex == 1

     {txt}Coerce {c |}
 nonnuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         55       22.27       22.27
{txt}          2 {c |}{res}        112       45.34       67.61
{txt}          3 {c |}{res}         70       28.34       95.95
{txt}          4 {c |}{res}         10        4.05      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        247      100.00
{txt}
{com}. 
. tab deter_nuclear_strikes if sex == 0

      {txt}Deter {c |}
    nuclear {c |}
    strikes {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          2 {c |}{res}          8       12.70       12.70
{txt}          3 {c |}{res}         38       60.32       73.02
{txt}          4 {c |}{res}         16       25.40       98.41
{txt}          9 {c |}{res}          1        1.59      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         63      100.00
{txt}
{com}. tab deter_conv_nuclear_opp if sex == 0

      {txt}Deter {c |}
conventiona {c |}
  l attacks {c |}
 by nuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          5        8.06        8.06
{txt}          2 {c |}{res}         14       22.58       30.65
{txt}          3 {c |}{res}         35       56.45       87.10
{txt}          4 {c |}{res}          7       11.29       98.39
{txt}          9 {c |}{res}          1        1.61      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         62      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp if sex == 0

      {txt}Deter {c |}
conventiona {c |}
l attack by {c |}
 nonnuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          5        8.06        8.06
{txt}          2 {c |}{res}         22       35.48       43.55
{txt}          3 {c |}{res}         29       46.77       90.32
{txt}          4 {c |}{res}          6        9.68      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         62      100.00
{txt}
{com}. tab coerce_nuclear_opp if sex == 0

     {txt}Coerce {c |}
    nuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          7       11.11       11.11
{txt}          2 {c |}{res}         28       44.44       55.56
{txt}          3 {c |}{res}         25       39.68       95.24
{txt}          4 {c |}{res}          2        3.17       98.41
{txt}          9 {c |}{res}          1        1.59      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         63      100.00
{txt}
{com}. tab coerce_nonnuclear_opp if sex == 0

     {txt}Coerce {c |}
 nonnuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          9       15.00       15.00
{txt}          2 {c |}{res}         20       33.33       48.33
{txt}          3 {c |}{res}         30       50.00       98.33
{txt}          9 {c |}{res}          1        1.67      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         60      100.00
{txt}
{com}. 
. * Figure A.2 Faculty - Sex *
. 
. tab deter_nuclear_strikes_ir if sex_ir == 1

      {txt}Deter {c |}
    Nuclear {c |}
Strikes 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         11        1.20        1.20
{txt}          2 {c |}{res}         53        5.79        6.99
{txt}          3 {c |}{res}        341       37.23       44.21
{txt}          4 {c |}{res}        484       52.84       97.05
{txt}          9 {c |}{res}         27        2.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        916      100.00
{txt}
{com}. tab deter_conv_nuclear_opp_ir if sex_ir == 1

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
Nuclear Opp {c |}
   4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         90        9.88        9.88
{txt}          2 {c |}{res}        174       19.10       28.98
{txt}          3 {c |}{res}        450       49.40       78.38
{txt}          4 {c |}{res}        170       18.66       97.04
{txt}          9 {c |}{res}         27        2.96      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        911      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp_ir if sex_ir == 1

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
 Nonnuclear {c |}
    Opp 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         95       10.47       10.47
{txt}          2 {c |}{res}        190       20.95       31.42
{txt}          3 {c |}{res}        371       40.90       72.33
{txt}          4 {c |}{res}        224       24.70       97.02
{txt}          9 {c |}{res}         27        2.98      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        907      100.00
{txt}
{com}. tab coerce_nuclear_opp_ir if sex_ir == 1

     {txt}Coerce {c |}
    Nuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        325       35.52       35.52
{txt}          2 {c |}{res}        356       38.91       74.43
{txt}          3 {c |}{res}        169       18.47       92.90
{txt}          4 {c |}{res}         39        4.26       97.16
{txt}          9 {c |}{res}         26        2.84      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        915      100.00
{txt}
{com}. tab coerce_nonnuclear_opp_ir if sex_ir == 1

     {txt}Coerce {c |}
 Nonnuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        208       22.86       22.86
{txt}          2 {c |}{res}        362       39.78       62.64
{txt}          3 {c |}{res}        253       27.80       90.44
{txt}          4 {c |}{res}         60        6.59       97.03
{txt}          9 {c |}{res}         27        2.97      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        910      100.00
{txt}
{com}. 
. tab deter_nuclear_strikes_ir if sex_ir == 0

      {txt}Deter {c |}
    Nuclear {c |}
Strikes 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         21        5.75        5.75
{txt}          2 {c |}{res}         41       11.23       16.99
{txt}          3 {c |}{res}        173       47.40       64.38
{txt}          4 {c |}{res}        108       29.59       93.97
{txt}          9 {c |}{res}         22        6.03      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        365      100.00
{txt}
{com}. tab deter_conv_nuclear_opp_ir if sex_ir == 0

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
Nuclear Opp {c |}
   4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         48       13.26       13.26
{txt}          2 {c |}{res}         91       25.14       38.40
{txt}          3 {c |}{res}        155       42.82       81.22
{txt}          4 {c |}{res}         46       12.71       93.92
{txt}          9 {c |}{res}         22        6.08      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        362      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp_ir if sex_ir == 0

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
 Nonnuclear {c |}
    Opp 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         55       15.28       15.28
{txt}          2 {c |}{res}         80       22.22       37.50
{txt}          3 {c |}{res}        139       38.61       76.11
{txt}          4 {c |}{res}         63       17.50       93.61
{txt}          9 {c |}{res}         23        6.39      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        360      100.00
{txt}
{com}. tab coerce_nuclear_opp_ir if sex_ir == 0

     {txt}Coerce {c |}
    Nuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         95       26.24       26.24
{txt}          2 {c |}{res}        152       41.99       68.23
{txt}          3 {c |}{res}         86       23.76       91.99
{txt}          4 {c |}{res}          8        2.21       94.20
{txt}          9 {c |}{res}         21        5.80      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        362      100.00
{txt}
{com}. tab coerce_nonnuclear_opp_ir if sex_ir == 0

     {txt}Coerce {c |}
 Nonnuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         75       20.78       20.78
{txt}          2 {c |}{res}        121       33.52       54.29
{txt}          3 {c |}{res}        109       30.19       84.49
{txt}          4 {c |}{res}         35        9.70       94.18
{txt}          9 {c |}{res}         21        5.82      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        361      100.00
{txt}
{com}. 
. * Figure A.3 Policy - Race *
. 
. tab deter_nuclear_strikes if minority == 1

      {txt}Deter {c |}
    nuclear {c |}
    strikes {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          1        3.45        3.45
{txt}          2 {c |}{res}          2        6.90       10.34
{txt}          3 {c |}{res}         16       55.17       65.52
{txt}          4 {c |}{res}         10       34.48      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         29      100.00
{txt}
{com}. tab deter_conv_nuclear_opp if minority == 1

      {txt}Deter {c |}
conventiona {c |}
  l attacks {c |}
 by nuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          4       13.79       13.79
{txt}          2 {c |}{res}          4       13.79       27.59
{txt}          3 {c |}{res}         16       55.17       82.76
{txt}          4 {c |}{res}          5       17.24      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         29      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp if minority == 1

      {txt}Deter {c |}
conventiona {c |}
l attack by {c |}
 nonnuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          5       17.24       17.24
{txt}          2 {c |}{res}         10       34.48       51.72
{txt}          3 {c |}{res}         11       37.93       89.66
{txt}          4 {c |}{res}          3       10.34      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         29      100.00
{txt}
{com}. tab coerce_nuclear_opp if minority == 1

     {txt}Coerce {c |}
    nuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          6       20.69       20.69
{txt}          2 {c |}{res}         15       51.72       72.41
{txt}          3 {c |}{res}          7       24.14       96.55
{txt}          4 {c |}{res}          1        3.45      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         29      100.00
{txt}
{com}. tab coerce_nonnuclear_opp if minority == 1

     {txt}Coerce {c |}
 nonnuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          6       21.43       21.43
{txt}          2 {c |}{res}         14       50.00       71.43
{txt}          3 {c |}{res}          8       28.57      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         28      100.00
{txt}
{com}. 
. tab deter_nuclear_strikes if minority == 0

      {txt}Deter {c |}
    nuclear {c |}
    strikes {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          2 {c |}{res}         14        4.98        4.98
{txt}          3 {c |}{res}        135       48.04       53.02
{txt}          4 {c |}{res}        131       46.62       99.64
{txt}          9 {c |}{res}          1        0.36      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        281      100.00
{txt}
{com}. tab deter_conv_nuclear_opp if minority == 0

      {txt}Deter {c |}
conventiona {c |}
  l attacks {c |}
 by nuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         17        6.07        6.07
{txt}          2 {c |}{res}         82       29.29       35.36
{txt}          3 {c |}{res}        141       50.36       85.71
{txt}          4 {c |}{res}         39       13.93       99.64
{txt}          9 {c |}{res}          1        0.36      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        280      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp if minority == 0

      {txt}Deter {c |}
conventiona {c |}
l attack by {c |}
 nonnuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         37       13.21       13.21
{txt}          2 {c |}{res}         93       33.21       46.43
{txt}          3 {c |}{res}        117       41.79       88.21
{txt}          4 {c |}{res}         31       11.07       99.29
{txt}          9 {c |}{res}          2        0.71      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        280      100.00
{txt}
{com}. tab coerce_nuclear_opp if minority == 0

     {txt}Coerce {c |}
    nuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         49       17.44       17.44
{txt}          2 {c |}{res}        124       44.13       61.57
{txt}          3 {c |}{res}         96       34.16       95.73
{txt}          4 {c |}{res}         10        3.56       99.29
{txt}          9 {c |}{res}          2        0.71      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        281      100.00
{txt}
{com}. tab coerce_nonnuclear_opp if minority == 0

     {txt}Coerce {c |}
 nonnuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         57       20.65       20.65
{txt}          2 {c |}{res}        117       42.39       63.04
{txt}          3 {c |}{res}         91       32.97       96.01
{txt}          4 {c |}{res}         10        3.62       99.64
{txt}          9 {c |}{res}          1        0.36      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        276      100.00
{txt}
{com}. 
. * Figure A.4 Faculty - Race *
. 
. tab deter_nuclear_strikes_ir if minority_ir == 1

      {txt}Deter {c |}
    Nuclear {c |}
Strikes 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          7        3.02        3.02
{txt}          2 {c |}{res}         23        9.91       12.93
{txt}          3 {c |}{res}         99       42.67       55.60
{txt}          4 {c |}{res}         94       40.52       96.12
{txt}          9 {c |}{res}          9        3.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        232      100.00
{txt}
{com}. tab deter_conv_nuclear_opp_ir if minority_ir == 1

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
Nuclear Opp {c |}
   4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         19        8.37        8.37
{txt}          2 {c |}{res}         58       25.55       33.92
{txt}          3 {c |}{res}         89       39.21       73.13
{txt}          4 {c |}{res}         54       23.79       96.92
{txt}          9 {c |}{res}          7        3.08      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        227      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp_ir if minority_ir == 1

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
 Nonnuclear {c |}
    Opp 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         14        6.17        6.17
{txt}          2 {c |}{res}         55       24.23       30.40
{txt}          3 {c |}{res}         84       37.00       67.40
{txt}          4 {c |}{res}         63       27.75       95.15
{txt}          9 {c |}{res}         11        4.85      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        227      100.00
{txt}
{com}. tab coerce_nuclear_opp_ir if minority_ir == 1

     {txt}Coerce {c |}
    Nuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         61       26.52       26.52
{txt}          2 {c |}{res}         97       42.17       68.70
{txt}          3 {c |}{res}         48       20.87       89.57
{txt}          4 {c |}{res}         17        7.39       96.96
{txt}          9 {c |}{res}          7        3.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        230      100.00
{txt}
{com}. tab coerce_nonnuclear_opp_ir if minority_ir == 1

     {txt}Coerce {c |}
 Nonnuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         35       15.35       15.35
{txt}          2 {c |}{res}         87       38.16       53.51
{txt}          3 {c |}{res}         69       30.26       83.77
{txt}          4 {c |}{res}         30       13.16       96.93
{txt}          9 {c |}{res}          7        3.07      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        228      100.00
{txt}
{com}. 
. tab deter_nuclear_strikes_ir if minority_ir == 0

      {txt}Deter {c |}
    Nuclear {c |}
Strikes 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         25        2.38        2.38
{txt}          2 {c |}{res}         71        6.77        9.15
{txt}          3 {c |}{res}        415       39.56       48.71
{txt}          4 {c |}{res}        498       47.47       96.19
{txt}          9 {c |}{res}         40        3.81      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,049      100.00
{txt}
{com}. tab deter_conv_nuclear_opp_ir if minority_ir == 0

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
Nuclear Opp {c |}
   4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        119       11.38       11.38
{txt}          2 {c |}{res}        207       19.79       31.17
{txt}          3 {c |}{res}        516       49.33       80.50
{txt}          4 {c |}{res}        162       15.49       95.98
{txt}          9 {c |}{res}         42        4.02      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,046      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp_ir if minority_ir == 0

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
 Nonnuclear {c |}
    Opp 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        136       13.08       13.08
{txt}          2 {c |}{res}        215       20.67       33.75
{txt}          3 {c |}{res}        426       40.96       74.71
{txt}          4 {c |}{res}        224       21.54       96.25
{txt}          9 {c |}{res}         39        3.75      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,040      100.00
{txt}
{com}. tab coerce_nuclear_opp_ir if minority_ir == 0

     {txt}Coerce {c |}
    Nuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        359       34.29       34.29
{txt}          2 {c |}{res}        411       39.26       73.54
{txt}          3 {c |}{res}        207       19.77       93.31
{txt}          4 {c |}{res}         30        2.87       96.18
{txt}          9 {c |}{res}         40        3.82      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,047      100.00
{txt}
{com}. tab coerce_nonnuclear_opp_ir if minority_ir == 0

     {txt}Coerce {c |}
 Nonnuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        248       23.78       23.78
{txt}          2 {c |}{res}        396       37.97       61.74
{txt}          3 {c |}{res}        293       28.09       89.84
{txt}          4 {c |}{res}         65        6.23       96.07
{txt}          9 {c |}{res}         41        3.93      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,043      100.00
{txt}
{com}. 
. * Figure A.5 Policy - Ideology *
. 
. tab deter_nuclear_strikes if ideology3 == 3

      {txt}Deter {c |}
    nuclear {c |}
    strikes {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          2 {c |}{res}          4        3.64        3.64
{txt}          3 {c |}{res}         47       42.73       46.36
{txt}          4 {c |}{res}         59       53.64      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        110      100.00
{txt}
{com}. tab deter_conv_nuclear_opp if ideology3 == 3

      {txt}Deter {c |}
conventiona {c |}
  l attacks {c |}
 by nuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          9        8.26        8.26
{txt}          2 {c |}{res}         36       33.03       41.28
{txt}          3 {c |}{res}         48       44.04       85.32
{txt}          4 {c |}{res}         16       14.68      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        109      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp if ideology3 == 3

      {txt}Deter {c |}
conventiona {c |}
l attack by {c |}
 nonnuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         18       16.51       16.51
{txt}          2 {c |}{res}         35       32.11       48.62
{txt}          3 {c |}{res}         45       41.28       89.91
{txt}          4 {c |}{res}         10        9.17       99.08
{txt}          9 {c |}{res}          1        0.92      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        109      100.00
{txt}
{com}. tab coerce_nuclear_opp if ideology3 == 3

     {txt}Coerce {c |}
    nuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         21       19.09       19.09
{txt}          2 {c |}{res}         49       44.55       63.64
{txt}          3 {c |}{res}         36       32.73       96.36
{txt}          4 {c |}{res}          3        2.73       99.09
{txt}          9 {c |}{res}          1        0.91      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        110      100.00
{txt}
{com}. tab coerce_nonnuclear_opp if ideology3 == 3

     {txt}Coerce {c |}
 nonnuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         21       19.44       19.44
{txt}          2 {c |}{res}         43       39.81       59.26
{txt}          3 {c |}{res}         39       36.11       95.37
{txt}          4 {c |}{res}          4        3.70       99.07
{txt}          9 {c |}{res}          1        0.93      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        108      100.00
{txt}
{com}. 
. tab deter_nuclear_strikes if ideology3 == 2

      {txt}Deter {c |}
    nuclear {c |}
    strikes {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          1        1.01        1.01
{txt}          2 {c |}{res}          7        7.07        8.08
{txt}          3 {c |}{res}         51       51.52       59.60
{txt}          4 {c |}{res}         40       40.40      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         99      100.00
{txt}
{com}. tab deter_conv_nuclear_opp if ideology3 == 2

      {txt}Deter {c |}
conventiona {c |}
  l attacks {c |}
 by nuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          5        5.05        5.05
{txt}          2 {c |}{res}         25       25.25       30.30
{txt}          3 {c |}{res}         52       52.53       82.83
{txt}          4 {c |}{res}         17       17.17      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         99      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp if ideology3 == 2

      {txt}Deter {c |}
conventiona {c |}
l attack by {c |}
 nonnuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         11       11.11       11.11
{txt}          2 {c |}{res}         34       34.34       45.45
{txt}          3 {c |}{res}         39       39.39       84.85
{txt}          4 {c |}{res}         15       15.15      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         99      100.00
{txt}
{com}. tab coerce_nuclear_opp if ideology3 == 2

     {txt}Coerce {c |}
    nuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         19       19.19       19.19
{txt}          2 {c |}{res}         43       43.43       62.63
{txt}          3 {c |}{res}         33       33.33       95.96
{txt}          4 {c |}{res}          4        4.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         99      100.00
{txt}
{com}. tab coerce_nonnuclear_opp if ideology3 == 2

     {txt}Coerce {c |}
 nonnuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         22       22.22       22.22
{txt}          2 {c |}{res}         44       44.44       66.67
{txt}          3 {c |}{res}         29       29.29       95.96
{txt}          4 {c |}{res}          4        4.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         99      100.00
{txt}
{com}. 
. tab deter_nuclear_strikes if ideology3 == 1

      {txt}Deter {c |}
    nuclear {c |}
    strikes {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          2 {c |}{res}          5        5.21        5.21
{txt}          3 {c |}{res}         46       47.92       53.13
{txt}          4 {c |}{res}         44       45.83       98.96
{txt}          9 {c |}{res}          1        1.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         96      100.00
{txt}
{com}. tab deter_conv_nuclear_opp if ideology3 == 1

      {txt}Deter {c |}
conventiona {c |}
  l attacks {c |}
 by nuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          7        7.29        7.29
{txt}          2 {c |}{res}         24       25.00       32.29
{txt}          3 {c |}{res}         54       56.25       88.54
{txt}          4 {c |}{res}         10       10.42       98.96
{txt}          9 {c |}{res}          1        1.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         96      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp if ideology3 == 1

      {txt}Deter {c |}
conventiona {c |}
l attack by {c |}
 nonnuclear {c |}
        opp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         13       13.54       13.54
{txt}          2 {c |}{res}         31       32.29       45.83
{txt}          3 {c |}{res}         42       43.75       89.58
{txt}          4 {c |}{res}         10       10.42      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         96      100.00
{txt}
{com}. tab coerce_nuclear_opp if ideology3 == 1

     {txt}Coerce {c |}
    nuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         17       17.71       17.71
{txt}          2 {c |}{res}         42       43.75       61.46
{txt}          3 {c |}{res}         31       32.29       93.75
{txt}          4 {c |}{res}          5        5.21       98.96
{txt}          9 {c |}{res}          1        1.04      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         96      100.00
{txt}
{com}. tab coerce_nonnuclear_opp if ideology3 == 1

     {txt}Coerce {c |}
 nonnuclear {c |}
  opponents {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         20       21.51       21.51
{txt}          2 {c |}{res}         41       44.09       65.59
{txt}          3 {c |}{res}         30       32.26       97.85
{txt}          4 {c |}{res}          2        2.15      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         93      100.00
{txt}
{com}. 
. * Figure A.6 Faculty - Ideology *
. 
. tab deter_nuclear_strikes_ir if ideology3ir == 3

      {txt}Deter {c |}
    Nuclear {c |}
Strikes 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          2        1.44        1.44
{txt}          2 {c |}{res}          8        5.76        7.19
{txt}          3 {c |}{res}         53       38.13       45.32
{txt}          4 {c |}{res}         75       53.96       99.28
{txt}          9 {c |}{res}          1        0.72      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        139      100.00
{txt}
{com}. tab deter_conv_nuclear_opp_ir if ideology3ir == 3

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
Nuclear Opp {c |}
   4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         13        9.42        9.42
{txt}          2 {c |}{res}         30       21.74       31.16
{txt}          3 {c |}{res}         70       50.72       81.88
{txt}          4 {c |}{res}         24       17.39       99.28
{txt}          9 {c |}{res}          1        0.72      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        138      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp_ir if ideology3ir == 3

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
 Nonnuclear {c |}
    Opp 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         20       14.49       14.49
{txt}          2 {c |}{res}         24       17.39       31.88
{txt}          3 {c |}{res}         49       35.51       67.39
{txt}          4 {c |}{res}         44       31.88       99.28
{txt}          9 {c |}{res}          1        0.72      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        138      100.00
{txt}
{com}. tab coerce_nuclear_opp_ir if ideology3ir == 3

     {txt}Coerce {c |}
    Nuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         46       33.09       33.09
{txt}          2 {c |}{res}         61       43.88       76.98
{txt}          3 {c |}{res}         22       15.83       92.81
{txt}          4 {c |}{res}          9        6.47       99.28
{txt}          9 {c |}{res}          1        0.72      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        139      100.00
{txt}
{com}. tab coerce_nonnuclear_opp_ir if ideology3ir == 3

     {txt}Coerce {c |}
 Nonnuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         30       21.74       21.74
{txt}          2 {c |}{res}         44       31.88       53.62
{txt}          3 {c |}{res}         41       29.71       83.33
{txt}          4 {c |}{res}         22       15.94       99.28
{txt}          9 {c |}{res}          1        0.72      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        138      100.00
{txt}
{com}. 
. tab deter_nuclear_strikes_ir if ideology3ir == 2

      {txt}Deter {c |}
    Nuclear {c |}
Strikes 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}          7        2.23        2.23
{txt}          2 {c |}{res}         19        6.05        8.28
{txt}          3 {c |}{res}        126       40.13       48.41
{txt}          4 {c |}{res}        154       49.04       97.45
{txt}          9 {c |}{res}          8        2.55      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        314      100.00
{txt}
{com}. tab deter_conv_nuclear_opp_ir if ideology3ir == 2

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
Nuclear Opp {c |}
   4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         33       10.61       10.61
{txt}          2 {c |}{res}         67       21.54       32.15
{txt}          3 {c |}{res}        140       45.02       77.17
{txt}          4 {c |}{res}         62       19.94       97.11
{txt}          9 {c |}{res}          9        2.89      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        311      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp_ir if ideology3ir == 2

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
 Nonnuclear {c |}
    Opp 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         36       11.58       11.58
{txt}          2 {c |}{res}         64       20.58       32.15
{txt}          3 {c |}{res}        133       42.77       74.92
{txt}          4 {c |}{res}         67       21.54       96.46
{txt}          9 {c |}{res}         11        3.54      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        311      100.00
{txt}
{com}. tab coerce_nuclear_opp_ir if ideology3ir == 2

     {txt}Coerce {c |}
    Nuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         99       31.63       31.63
{txt}          2 {c |}{res}        119       38.02       69.65
{txt}          3 {c |}{res}         71       22.68       92.33
{txt}          4 {c |}{res}         15        4.79       97.12
{txt}          9 {c |}{res}          9        2.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        313      100.00
{txt}
{com}. tab coerce_nonnuclear_opp_ir if ideology3ir == 2

     {txt}Coerce {c |}
 Nonnuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         73       23.32       23.32
{txt}          2 {c |}{res}        124       39.62       62.94
{txt}          3 {c |}{res}         85       27.16       90.10
{txt}          4 {c |}{res}         22        7.03       97.12
{txt}          9 {c |}{res}          9        2.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        313      100.00
{txt}
{com}. 
. tab deter_nuclear_strikes_ir if ideology3ir == 1

      {txt}Deter {c |}
    Nuclear {c |}
Strikes 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         21        2.60        2.60
{txt}          2 {c |}{res}         65        8.05       10.66
{txt}          3 {c |}{res}        326       40.40       51.05
{txt}          4 {c |}{res}        356       44.11       95.17
{txt}          9 {c |}{res}         39        4.83      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        807      100.00
{txt}
{com}. tab deter_conv_nuclear_opp_ir if ideology3ir == 1

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
Nuclear Opp {c |}
   4 = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         88       10.97       10.97
{txt}          2 {c |}{res}        163       20.32       31.30
{txt}          3 {c |}{res}        383       47.76       79.05
{txt}          4 {c |}{res}        130       16.21       95.26
{txt}          9 {c |}{res}         38        4.74      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        802      100.00
{txt}
{com}. tab deter_conv_nonnuclear_opp_ir if ideology3ir == 1

      {txt}Deter {c |}
Conventiona {c |}
l Attack by {c |}
 Nonnuclear {c |}
    Opp 4 = {c |}
       Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         91       11.42       11.42
{txt}          2 {c |}{res}        176       22.08       33.50
{txt}          3 {c |}{res}        319       40.03       73.53
{txt}          4 {c |}{res}        174       21.83       95.36
{txt}          9 {c |}{res}         37        4.64      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        797      100.00
{txt}
{com}. tab coerce_nuclear_opp_ir if ideology3ir == 1

     {txt}Coerce {c |}
    Nuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        268       33.37       33.37
{txt}          2 {c |}{res}        317       39.48       72.85
{txt}          3 {c |}{res}        159       19.80       92.65
{txt}          4 {c |}{res}         23        2.86       95.52
{txt}          9 {c |}{res}         36        4.48      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        803      100.00
{txt}
{com}. tab coerce_nonnuclear_opp_ir if ideology3ir == 1

     {txt}Coerce {c |}
 Nonnuclear {c |}
 Opponent 4 {c |}
     = Very {c |}
  confident {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        173       21.65       21.65
{txt}          2 {c |}{res}        307       38.42       60.08
{txt}          3 {c |}{res}        232       29.04       89.11
{txt}          4 {c |}{res}         50        6.26       95.37
{txt}          9 {c |}{res}         37        4.63      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        799      100.00
{txt}
{com}. 
. * Results reported in Appendix text discussing education and academic affiliation *
. 
. tab taboo_familiar if education == 5 & university == 1

   {txt}Familiar {c |}
 with taboo {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         13       19.40       19.40
{txt}          1 {c |}{res}         54       80.60      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}         67      100.00
{txt}
{com}. tab taboo_familiar if education != 5 | university != 1

   {txt}Familiar {c |}
 with taboo {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        130       51.38       51.38
{txt}          1 {c |}{res}        123       48.62      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        253      100.00
{txt}
{com}. 
. ** Table A.1: Policymaker Familiarity with and Confidence in the Nuclear Taboo **
. 
. eststo M11: logit taboo_familiar age sex minority military rank experience education university international political ideology if taboo_familiar != ., robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-204.95583}  
Iteration 1:{space 3}log pseudolikelihood = {res: -186.8125}  
Iteration 2:{space 3}log pseudolikelihood = {res:-186.71702}  
Iteration 3:{space 3}log pseudolikelihood = {res:-186.71701}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       299
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     34.27
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003
{txt}Log pseudolikelihood = {res}-186.71701{txt}{col 49}Pseudo R2{col 67}= {res}    0.0890

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}taboo_familiar{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}age {c |}{col 16}{res}{space 2} .0046887{col 28}{space 2} .0161827{col 39}{space 1}    0.29{col 48}{space 3}0.772{col 56}{space 4}-.0270288{col 69}{space 3} .0364061
{txt}{space 11}sex {c |}{col 16}{res}{space 2} .4533531{col 28}{space 2} .3464836{col 39}{space 1}    1.31{col 48}{space 3}0.191{col 56}{space 4}-.2257423{col 69}{space 3} 1.132449
{txt}{space 6}minority {c |}{col 16}{res}{space 2}-.2532446{col 28}{space 2} .4203733{col 39}{space 1}   -0.60{col 48}{space 3}0.547{col 56}{space 4}-1.077161{col 69}{space 3}  .570672
{txt}{space 6}military {c |}{col 16}{res}{space 2}-.0669661{col 28}{space 2} .4288437{col 39}{space 1}   -0.16{col 48}{space 3}0.876{col 56}{space 4}-.9074842{col 69}{space 3} .7735521
{txt}{space 10}rank {c |}{col 16}{res}{space 2}-.0315219{col 28}{space 2} .1216245{col 39}{space 1}   -0.26{col 48}{space 3}0.796{col 56}{space 4}-.2699015{col 69}{space 3} .2068578
{txt}{space 4}experience {c |}{col 16}{res}{space 2}-.0189241{col 28}{space 2} .0138137{col 39}{space 1}   -1.37{col 48}{space 3}0.171{col 56}{space 4}-.0459985{col 69}{space 3} .0081503
{txt}{space 5}education {c |}{col 16}{res}{space 2} .1999215{col 28}{space 2} .1045602{col 39}{space 1}    1.91{col 48}{space 3}0.056{col 56}{space 4}-.0050129{col 69}{space 3} .4048558
{txt}{space 4}university {c |}{col 16}{res}{space 2} .7897675{col 28}{space 2} .2904764{col 39}{space 1}    2.72{col 48}{space 3}0.007{col 56}{space 4} .2204443{col 69}{space 3} 1.359091
{txt}{space 1}international {c |}{col 16}{res}{space 2} .4417403{col 28}{space 2} .2718823{col 39}{space 1}    1.62{col 48}{space 3}0.104{col 56}{space 4}-.0911392{col 69}{space 3} .9746197
{txt}{space 5}political {c |}{col 16}{res}{space 2} .3993948{col 28}{space 2} .3818722{col 39}{space 1}    1.05{col 48}{space 3}0.296{col 56}{space 4}-.3490609{col 69}{space 3} 1.147851
{txt}{space 6}ideology {c |}{col 16}{res}{space 2}-.1134388{col 28}{space 2} .1415087{col 39}{space 1}   -0.80{col 48}{space 3}0.423{col 56}{space 4}-.3907908{col 69}{space 3} .1639132
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.6305047{col 28}{space 2}  .936687{col 39}{space 1}   -0.67{col 48}{space 3}0.501{col 56}{space 4}-2.466378{col 69}{space 3} 1.205368
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M12: ologit taboo_russia_china age sex minority military rank experience education university international political ideology, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-99.661071}  
Iteration 1:{space 3}log pseudolikelihood = {res:-85.692969}  
Iteration 2:{space 3}log pseudolikelihood = {res:-84.755744}  
Iteration 3:{space 3}log pseudolikelihood = {res:-84.749539}  
Iteration 4:{space 3}log pseudolikelihood = {res:-84.749539}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}        88
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     37.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-84.749539{txt}{col 49}Pseudo R2{col 67}= {res}    0.1496

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}taboo_russia_china{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}age {c |}{col 20}{res}{space 2} .0139982{col 32}{space 2} .0204878{col 43}{space 1}    0.68{col 52}{space 3}0.494{col 60}{space 4}-.0261572{col 73}{space 3} .0541535
{txt}{space 15}sex {c |}{col 20}{res}{space 2}-.0529721{col 32}{space 2} .5697127{col 43}{space 1}   -0.09{col 52}{space 3}0.926{col 60}{space 4}-1.169589{col 73}{space 3} 1.063644
{txt}{space 10}minority {c |}{col 20}{res}{space 2}-.3816278{col 32}{space 2} .6554642{col 43}{space 1}   -0.58{col 52}{space 3}0.560{col 60}{space 4}-1.666314{col 73}{space 3} .9030585
{txt}{space 10}military {c |}{col 20}{res}{space 2} -.244686{col 32}{space 2} .8088372{col 43}{space 1}   -0.30{col 52}{space 3}0.762{col 60}{space 4}-1.829978{col 73}{space 3} 1.340606
{txt}{space 14}rank {c |}{col 20}{res}{space 2}  .165183{col 32}{space 2}  .219256{col 43}{space 1}    0.75{col 52}{space 3}0.451{col 60}{space 4}-.2645508{col 73}{space 3} .5949169
{txt}{space 8}experience {c |}{col 20}{res}{space 2} .0300528{col 32}{space 2} .0222822{col 43}{space 1}    1.35{col 52}{space 3}0.177{col 60}{space 4}-.0136194{col 73}{space 3} .0737251
{txt}{space 9}education {c |}{col 20}{res}{space 2} .2633062{col 32}{space 2} .1988502{col 43}{space 1}    1.32{col 52}{space 3}0.185{col 60}{space 4}-.1264331{col 73}{space 3} .6530455
{txt}{space 8}university {c |}{col 20}{res}{space 2}-.3003862{col 32}{space 2} .6699058{col 43}{space 1}   -0.45{col 52}{space 3}0.654{col 60}{space 4}-1.613377{col 73}{space 3} 1.012605
{txt}{space 5}international {c |}{col 20}{res}{space 2} -.478773{col 32}{space 2} .5961308{col 43}{space 1}   -0.80{col 52}{space 3}0.422{col 60}{space 4}-1.647168{col 73}{space 3} .6896219
{txt}{space 9}political {c |}{col 20}{res}{space 2} .5676249{col 32}{space 2} .6126705{col 43}{space 1}    0.93{col 52}{space 3}0.354{col 60}{space 4}-.6331872{col 73}{space 3} 1.768437
{txt}{space 10}ideology {c |}{col 20}{res}{space 2}-1.067337{col 32}{space 2} .2526404{col 43}{space 1}   -4.22{col 52}{space 3}0.000{col 60}{space 4}-1.562503{col 73}{space 3}-.5721708
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /cut1 {c |}{col 20}{res}{space 2}-3.507178{col 32}{space 2} 1.647399{col 60}{space 4}-6.736021{col 73}{space 3}-.2783344
{txt}             /cut2 {c |}{col 20}{res}{space 2}-1.513055{col 32}{space 2} 1.502265{col 60}{space 4}-4.457439{col 73}{space 3}  1.43133
{txt}             /cut3 {c |}{col 20}{res}{space 2} 2.125907{col 32}{space 2} 1.452151{col 60}{space 4}-.7202565{col 73}{space 3}  4.97207
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M13: ologit taboo_uk_france age sex minority military rank experience education university international political ideology, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-69.875467}  
Iteration 1:{space 3}log pseudolikelihood = {res:-64.891626}  
Iteration 2:{space 3}log pseudolikelihood = {res: -64.74473}  
Iteration 3:{space 3}log pseudolikelihood = {res:-64.744404}  
Iteration 4:{space 3}log pseudolikelihood = {res:-64.744404}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}        80
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}      9.59
{txt}{col 49}Prob > chi2{col 67}= {res}    0.5672
{txt}Log pseudolikelihood = {res}-64.744404{txt}{col 49}Pseudo R2{col 67}= {res}    0.0734

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}taboo_uk_france{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}age {c |}{col 17}{res}{space 2}  .009394{col 29}{space 2} .0280735{col 40}{space 1}    0.33{col 49}{space 3}0.738{col 57}{space 4}-.0456291{col 70}{space 3} .0644171
{txt}{space 12}sex {c |}{col 17}{res}{space 2}-.2667161{col 29}{space 2} .7291288{col 40}{space 1}   -0.37{col 49}{space 3}0.715{col 57}{space 4}-1.695782{col 70}{space 3}  1.16235
{txt}{space 7}minority {c |}{col 17}{res}{space 2}-1.069017{col 29}{space 2}  .778533{col 40}{space 1}   -1.37{col 49}{space 3}0.170{col 57}{space 4}-2.594913{col 70}{space 3} .4568798
{txt}{space 7}military {c |}{col 17}{res}{space 2}-.0467374{col 29}{space 2} .9952932{col 40}{space 1}   -0.05{col 49}{space 3}0.963{col 57}{space 4}-1.997476{col 70}{space 3} 1.904002
{txt}{space 11}rank {c |}{col 17}{res}{space 2}-.4171147{col 29}{space 2} .2574905{col 40}{space 1}   -1.62{col 49}{space 3}0.105{col 57}{space 4}-.9217868{col 70}{space 3} .0875574
{txt}{space 5}experience {c |}{col 17}{res}{space 2}-.0262257{col 29}{space 2} .0273887{col 40}{space 1}   -0.96{col 49}{space 3}0.338{col 57}{space 4}-.0799065{col 70}{space 3} .0274551
{txt}{space 6}education {c |}{col 17}{res}{space 2}-.2408602{col 29}{space 2} .1807031{col 40}{space 1}   -1.33{col 49}{space 3}0.183{col 57}{space 4}-.5950318{col 70}{space 3} .1133114
{txt}{space 5}university {c |}{col 17}{res}{space 2}-.1189397{col 29}{space 2} .4811009{col 40}{space 1}   -0.25{col 49}{space 3}0.805{col 57}{space 4} -1.06188{col 70}{space 3} .8240008
{txt}{space 2}international {c |}{col 17}{res}{space 2} .4404587{col 29}{space 2} .6085919{col 40}{space 1}    0.72{col 49}{space 3}0.469{col 57}{space 4}-.7523595{col 70}{space 3} 1.633277
{txt}{space 6}political {c |}{col 17}{res}{space 2} .4334157{col 29}{space 2} 1.021836{col 40}{space 1}    0.42{col 49}{space 3}0.671{col 57}{space 4}-1.569347{col 70}{space 3} 2.436178
{txt}{space 7}ideology {c |}{col 17}{res}{space 2}-.1722836{col 29}{space 2} .2877085{col 40}{space 1}   -0.60{col 49}{space 3}0.549{col 57}{space 4}-.7361819{col 70}{space 3} .3916146
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2}-7.423741{col 29}{space 2} 2.124107{col 57}{space 4}-11.58691{col 70}{space 3}-3.260569
{txt}          /cut2 {c |}{col 17}{res}{space 2}-5.495031{col 29}{space 2} 1.838103{col 57}{space 4}-9.097647{col 70}{space 3}-1.892416
{txt}          /cut3 {c |}{col 17}{res}{space 2}-3.338509{col 29}{space 2} 1.860163{col 57}{space 4}-6.984362{col 70}{space 3} .3073444
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M11 M12 M13, nodepvars nomtitles se(3) pr2 b(3) star(* 0.05 ** 0.01 *** 0.001) title(Table A.1: Logit and Ordered Logit Estimates of Policymaker Views on the Nuclear Taboo) varwidth(50)
{res}
{txt}Table A.1: Logit and Ordered Logit Estimates of Policymaker Views on the Nuclear Taboo
{txt}{hline 98}
{txt}                                                            (1)             (2)             (3)   
{txt}{hline 98}
{res}main                                                                                              {txt}
{txt}age                                               {res}        0.005           0.014           0.009   {txt}
                                                  {res} {ralign 12:{txt:(}0.016{txt:)}}    {ralign 12:{txt:(}0.020{txt:)}}    {ralign 12:{txt:(}0.028{txt:)}}   {txt}

{txt}sex                                               {res}        0.453          -0.053          -0.267   {txt}
                                                  {res} {ralign 12:{txt:(}0.346{txt:)}}    {ralign 12:{txt:(}0.570{txt:)}}    {ralign 12:{txt:(}0.729{txt:)}}   {txt}

{txt}minority                                          {res}       -0.253          -0.382          -1.069   {txt}
                                                  {res} {ralign 12:{txt:(}0.420{txt:)}}    {ralign 12:{txt:(}0.655{txt:)}}    {ralign 12:{txt:(}0.779{txt:)}}   {txt}

{txt}military                                          {res}       -0.067          -0.245          -0.047   {txt}
                                                  {res} {ralign 12:{txt:(}0.429{txt:)}}    {ralign 12:{txt:(}0.809{txt:)}}    {ralign 12:{txt:(}0.995{txt:)}}   {txt}

{txt}rank                                              {res}       -0.032           0.165          -0.417   {txt}
                                                  {res} {ralign 12:{txt:(}0.122{txt:)}}    {ralign 12:{txt:(}0.219{txt:)}}    {ralign 12:{txt:(}0.257{txt:)}}   {txt}

{txt}experience                                        {res}       -0.019           0.030          -0.026   {txt}
                                                  {res} {ralign 12:{txt:(}0.014{txt:)}}    {ralign 12:{txt:(}0.022{txt:)}}    {ralign 12:{txt:(}0.027{txt:)}}   {txt}

{txt}education                                         {res}        0.200           0.263          -0.241   {txt}
                                                  {res} {ralign 12:{txt:(}0.105{txt:)}}    {ralign 12:{txt:(}0.199{txt:)}}    {ralign 12:{txt:(}0.181{txt:)}}   {txt}

{txt}university                                        {res}        0.790**        -0.300          -0.119   {txt}
                                                  {res} {ralign 12:{txt:(}0.290{txt:)}}    {ralign 12:{txt:(}0.670{txt:)}}    {ralign 12:{txt:(}0.481{txt:)}}   {txt}

{txt}international                                     {res}        0.442          -0.479           0.440   {txt}
                                                  {res} {ralign 12:{txt:(}0.272{txt:)}}    {ralign 12:{txt:(}0.596{txt:)}}    {ralign 12:{txt:(}0.609{txt:)}}   {txt}

{txt}political                                         {res}        0.399           0.568           0.433   {txt}
                                                  {res} {ralign 12:{txt:(}0.382{txt:)}}    {ralign 12:{txt:(}0.613{txt:)}}    {ralign 12:{txt:(}1.022{txt:)}}   {txt}

{txt}ideology                                          {res}       -0.113          -1.067***       -0.172   {txt}
                                                  {res} {ralign 12:{txt:(}0.142{txt:)}}    {ralign 12:{txt:(}0.253{txt:)}}    {ralign 12:{txt:(}0.288{txt:)}}   {txt}

{txt}_cons                                             {res}       -0.631                                   {txt}
                                                  {res} {ralign 12:{txt:(}0.937{txt:)}}                                   {txt}
{hline 98}
{res}cut1                                                                                              {txt}
{txt}_cons                                             {res}                       -3.507*         -7.424***{txt}
                                                  {res}                 {ralign 12:{txt:(}1.647{txt:)}}    {ralign 12:{txt:(}2.124{txt:)}}   {txt}
{hline 98}
{res}cut2                                                                                              {txt}
{txt}_cons                                             {res}                       -1.513          -5.495** {txt}
                                                  {res}                 {ralign 12:{txt:(}1.502{txt:)}}    {ralign 12:{txt:(}1.838{txt:)}}   {txt}
{hline 98}
{res}cut3                                                                                              {txt}
{txt}_cons                                             {res}                        2.126          -3.339   {txt}
                                                  {res}                 {ralign 12:{txt:(}1.452{txt:)}}    {ralign 12:{txt:(}1.860{txt:)}}   {txt}
{txt}{hline 98}
{txt}N                                                 {res}          299              88              80   {txt}
{txt}pseudo R-sq                                       {res}        0.089           0.150           0.073   {txt}
{txt}{hline 98}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. 
. ** Table A.2: Results for demographics and taboo views among IR faculty **
. 
. eststo M14: ologit taboo_russia_china_ir sex_ir minority_ir rank_ir ideology_ir if deter_nuclear_strikes_ir !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-499.94142}  
Iteration 1:{space 3}log pseudolikelihood = {res:-497.91753}  
Iteration 2:{space 3}log pseudolikelihood = {res:-497.91481}  
Iteration 3:{space 3}log pseudolikelihood = {res:-497.91481}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       409
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}      3.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.4758
{txt}Log pseudolikelihood = {res}-497.91481{txt}{col 49}Pseudo R2{col 67}= {res}    0.0041

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}taboo_russia_china_ir{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}sex_ir {c |}{col 23}{res}{space 2} .1709818{col 35}{space 2}  .212756{col 46}{space 1}    0.80{col 55}{space 3}0.422{col 63}{space 4}-.2460124{col 76}{space 3}  .587976
{txt}{space 10}minority_ir {c |}{col 23}{res}{space 2} -.070509{col 35}{space 2} .2345633{col 46}{space 1}   -0.30{col 55}{space 3}0.764{col 63}{space 4}-.5302447{col 76}{space 3} .3892267
{txt}{space 14}rank_ir {c |}{col 23}{res}{space 2} .1120674{col 35}{space 2} .1097498{col 46}{space 1}    1.02{col 55}{space 3}0.307{col 63}{space 4}-.1030382{col 76}{space 3}  .327173
{txt}{space 10}ideology_ir {c |}{col 23}{res}{space 2}-.1466597{col 35}{space 2}  .115154{col 46}{space 1}   -1.27{col 55}{space 3}0.203{col 63}{space 4}-.3723575{col 76}{space 3}  .079038
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                /cut1 {c |}{col 23}{res}{space 2}  -2.4601{col 35}{space 2} .4003279{col 63}{space 4}-3.244728{col 76}{space 3}-1.675471
{txt}                /cut2 {c |}{col 23}{res}{space 2}-.9652045{col 35}{space 2} .3689661{col 63}{space 4}-1.688365{col 76}{space 3}-.2420442
{txt}                /cut3 {c |}{col 23}{res}{space 2} 1.296511{col 35}{space 2} .3722481{col 63}{space 4} .5669183{col 76}{space 3} 2.026104
{txt}                /cut4 {c |}{col 23}{res}{space 2} 5.319148{col 35}{space 2} .8454724{col 63}{space 4} 3.662052{col 76}{space 3} 6.976243
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M15: ologit taboo_uk_france_ir  sex_ir minority_ir rank_ir ideology_ir if deter_conv_nuclear_opp_ir !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-444.61052}  
Iteration 1:{space 3}log pseudolikelihood = {res: -443.4595}  
Iteration 2:{space 3}log pseudolikelihood = {res:-443.45875}  
Iteration 3:{space 3}log pseudolikelihood = {res:-443.45875}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       395
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}      2.27
{txt}{col 49}Prob > chi2{col 67}= {res}    0.6854
{txt}Log pseudolikelihood = {res}-443.45875{txt}{col 49}Pseudo R2{col 67}= {res}    0.0026

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}taboo_uk_france_ir{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}sex_ir {c |}{col 20}{res}{space 2} .0168774{col 32}{space 2} .2271164{col 43}{space 1}    0.07{col 52}{space 3}0.941{col 60}{space 4}-.4282626{col 73}{space 3} .4620173
{txt}{space 7}minority_ir {c |}{col 20}{res}{space 2}-.2684419{col 32}{space 2} .2665737{col 43}{space 1}   -1.01{col 52}{space 3}0.314{col 60}{space 4}-.7909168{col 73}{space 3} .2540331
{txt}{space 11}rank_ir {c |}{col 20}{res}{space 2} .0870811{col 32}{space 2} .1073312{col 43}{space 1}    0.81{col 52}{space 3}0.417{col 60}{space 4}-.1232843{col 73}{space 3} .2974464
{txt}{space 7}ideology_ir {c |}{col 20}{res}{space 2}-.0612425{col 32}{space 2} .0944238{col 43}{space 1}   -0.65{col 52}{space 3}0.517{col 60}{space 4}-.2463097{col 73}{space 3} .1238248
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             /cut1 {c |}{col 20}{res}{space 2} -3.11278{col 32}{space 2} .3993352{col 60}{space 4}-3.895463{col 73}{space 3}-2.330098
{txt}             /cut2 {c |}{col 20}{res}{space 2}-1.916404{col 32}{space 2} .3705439{col 60}{space 4}-2.642657{col 73}{space 3}-1.190151
{txt}             /cut3 {c |}{col 20}{res}{space 2}-.0427656{col 32}{space 2} .3586939{col 60}{space 4}-.7457927{col 73}{space 3} .6602615
{txt}             /cut4 {c |}{col 20}{res}{space 2} 4.182502{col 32}{space 2} .5244196{col 60}{space 4} 3.154659{col 73}{space 3} 5.210346
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M16: ologit taboo_us_ir sex_ir minority_ir rank_ir ideology_ir if deter_conv_nonnuclear_opp_ir !=9, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-500.79639}  
Iteration 1:{space 3}log pseudolikelihood = {res: -496.2392}  
Iteration 2:{space 3}log pseudolikelihood = {res:-496.22524}  
Iteration 3:{space 3}log pseudolikelihood = {res:-496.22524}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       411
{txt}{col 49}Wald chi2({res}4{txt}){col 67}= {res}      9.30
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0539
{txt}Log pseudolikelihood = {res}-496.22524{txt}{col 49}Pseudo R2{col 67}= {res}    0.0091

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} taboo_us_ir{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}sex_ir {c |}{col 14}{res}{space 2}  .475581{col 26}{space 2} .2223605{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0397624{col 67}{space 3} .9113996
{txt}{space 1}minority_ir {c |}{col 14}{res}{space 2}-.2063952{col 26}{space 2}  .262466{col 37}{space 1}   -0.79{col 46}{space 3}0.432{col 54}{space 4}-.7208191{col 67}{space 3} .3080286
{txt}{space 5}rank_ir {c |}{col 14}{res}{space 2}-.0737529{col 26}{space 2} .1141528{col 37}{space 1}   -0.65{col 46}{space 3}0.518{col 54}{space 4}-.2974882{col 67}{space 3} .1499824
{txt}{space 1}ideology_ir {c |}{col 14}{res}{space 2} .1522488{col 26}{space 2} .1125469{col 37}{space 1}    1.35{col 46}{space 3}0.176{col 54}{space 4}-.0683391{col 67}{space 3} .3728367
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-1.962682{col 26}{space 2} .3735962{col 54}{space 4}-2.694917{col 67}{space 3}-1.230447
{txt}       /cut2 {c |}{col 14}{res}{space 2}-.4063552{col 26}{space 2} .3458659{col 54}{space 4} -1.08424{col 67}{space 3} .2715295
{txt}       /cut3 {c |}{col 14}{res}{space 2}  1.96372{col 26}{space 2} .3604903{col 54}{space 4} 1.257172{col 67}{space 3} 2.670268
{txt}       /cut4 {c |}{col 14}{res}{space 2}  5.45654{col 26}{space 2} .7141616{col 54}{space 4} 4.056809{col 67}{space 3} 6.856271
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M14 M15 M16, nodepvars nomtitles se(3) pr2 b(3) star(* 0.05 ** 0.01 *** 0.001) title(Table A.2: Ordered Logit Estimates of IR Faculty Views on the Nuclear Taboo) varwidth(50)
{res}
{txt}Table A.2: Ordered Logit Estimates of IR Faculty Views on the Nuclear Taboo
{txt}{hline 98}
{txt}                                                            (1)             (2)             (3)   
{txt}{hline 98}
{res}main                                                                                              {txt}
{txt}sex_ir                                            {res}        0.171           0.017           0.476*  {txt}
                                                  {res} {ralign 12:{txt:(}0.213{txt:)}}    {ralign 12:{txt:(}0.227{txt:)}}    {ralign 12:{txt:(}0.222{txt:)}}   {txt}

{txt}minority_ir                                       {res}       -0.071          -0.268          -0.206   {txt}
                                                  {res} {ralign 12:{txt:(}0.235{txt:)}}    {ralign 12:{txt:(}0.267{txt:)}}    {ralign 12:{txt:(}0.262{txt:)}}   {txt}

{txt}rank_ir                                           {res}        0.112           0.087          -0.074   {txt}
                                                  {res} {ralign 12:{txt:(}0.110{txt:)}}    {ralign 12:{txt:(}0.107{txt:)}}    {ralign 12:{txt:(}0.114{txt:)}}   {txt}

{txt}ideology_ir                                       {res}       -0.147          -0.061           0.152   {txt}
                                                  {res} {ralign 12:{txt:(}0.115{txt:)}}    {ralign 12:{txt:(}0.094{txt:)}}    {ralign 12:{txt:(}0.113{txt:)}}   {txt}
{hline 98}
{res}cut1                                                                                              {txt}
{txt}_cons                                             {res}       -2.460***       -3.113***       -1.963***{txt}
                                                  {res} {ralign 12:{txt:(}0.400{txt:)}}    {ralign 12:{txt:(}0.399{txt:)}}    {ralign 12:{txt:(}0.374{txt:)}}   {txt}
{hline 98}
{res}cut2                                                                                              {txt}
{txt}_cons                                             {res}       -0.965**        -1.916***       -0.406   {txt}
                                                  {res} {ralign 12:{txt:(}0.369{txt:)}}    {ralign 12:{txt:(}0.371{txt:)}}    {ralign 12:{txt:(}0.346{txt:)}}   {txt}
{hline 98}
{res}cut3                                                                                              {txt}
{txt}_cons                                             {res}        1.297***       -0.043           1.964***{txt}
                                                  {res} {ralign 12:{txt:(}0.372{txt:)}}    {ralign 12:{txt:(}0.359{txt:)}}    {ralign 12:{txt:(}0.360{txt:)}}   {txt}
{hline 98}
{res}cut4                                                                                              {txt}
{txt}_cons                                             {res}        5.319***        4.183***        5.457***{txt}
                                                  {res} {ralign 12:{txt:(}0.845{txt:)}}    {ralign 12:{txt:(}0.524{txt:)}}    {ralign 12:{txt:(}0.714{txt:)}}   {txt}
{txt}{hline 98}
{txt}N                                                 {res}          409             395             411   {txt}
{txt}pseudo R-sq                                       {res}        0.004           0.003           0.009   {txt}
{txt}{hline 98}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\pcavey\Documents\2017 Policymaker Survey\MAD and Taboo\Data\Analysis\Replication for FPA\Log for MAD and Taboo.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}25 Feb 2020, 17:20:17
{txt}{.-}
{smcl}
{txt}{sf}{ul off}